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@@ -119,6 +119,11 @@
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
</nav>
|
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|
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@@ -120,6 +120,11 @@
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
</nav>
|
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@@ -1116,37 +1121,27 @@ uncorrelated.</p>
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2.56416115970942
|
||||
[[ 5.90838144e+00 6.98010863e+00 -1.93947492e-01 1.33851317e+00
|
||||
8.51355225e+00 8.12403403e+00 4.82725395e+00 7.54223480e+00
|
||||
9.38189254e+00 5.58473257e+00]
|
||||
[ 6.98010863e+00 8.24623749e+00 -2.29127820e-01 1.58130740e+00
|
||||
1.00578340e+01 9.59766065e+00 5.70287435e+00 8.91032829e+00
|
||||
1.10836834e+01 6.59775278e+00]
|
||||
[-1.93947492e-01 -2.29127820e-01 6.36648631e-03 -4.39377982e-02
|
||||
-2.79464371e-01 -2.66678115e-01 -1.58458590e-01 -2.47580075e-01
|
||||
-3.07968357e-01 -1.83323451e-01]
|
||||
[ 1.33851317e+00 1.58130740e+00 -4.39377982e-02 3.03233215e-01
|
||||
1.92870110e+00 1.84045777e+00 1.09358934e+00 1.70865417e+00
|
||||
2.12541909e+00 1.26519220e+00]
|
||||
[ 8.51355225e+00 1.00578340e+01 -2.79464371e-01 1.92870110e+00
|
||||
1.22674158e+01 1.17061481e+01 6.95572537e+00 1.08678173e+01
|
||||
1.35186316e+01 8.04719753e+00]
|
||||
[ 8.12403403e+00 9.59766065e+00 -2.66678115e-01 1.84045777e+00
|
||||
1.17061481e+01 1.11705599e+01 6.63748198e+00 1.03705850e+01
|
||||
1.29001174e+01 7.67901631e+00]
|
||||
[ 4.82725395e+00 5.70287435e+00 -1.58458590e-01 1.09358934e+00
|
||||
6.95572537e+00 6.63748198e+00 3.94395333e+00 6.16214154e+00
|
||||
7.66517501e+00 4.56282700e+00]
|
||||
[ 7.54223480e+00 8.91032829e+00 -2.47580075e-01 1.70865417e+00
|
||||
1.08678173e+01 1.03705850e+01 6.16214154e+00 9.62790003e+00
|
||||
1.19762810e+01 7.12908684e+00]
|
||||
[ 9.38189254e+00 1.10836834e+01 -3.07968357e-01 2.12541909e+00
|
||||
1.35186316e+01 1.29001174e+01 7.66517501e+00 1.19762810e+01
|
||||
1.48974653e+01 8.86797194e+00]
|
||||
[ 5.58473257e+00 6.59775278e+00 -1.83323451e-01 1.26519220e+00
|
||||
8.04719753e+00 7.67901631e+00 4.56282700e+00 7.12908684e+00
|
||||
8.86797194e+00 5.27881252e+00]]
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>2.1453055662574343
|
||||
[[12.86665228 10.42534378 14.91184964 7.05197852 10.73905189 9.78942024
|
||||
2.99691286 8.42384711 18.16377739 12.166796 ]
|
||||
[10.42534378 8.44724724 12.082487 5.71394166 8.70143262 7.93198333
|
||||
2.42828097 6.82551297 14.71739653 9.85827768]
|
||||
[14.91184964 12.082487 17.28213796 8.17291407 12.44606006 11.34548129
|
||||
3.47328217 9.76284574 21.05097048 14.10074886]
|
||||
[ 7.05197852 5.71394166 8.17291407 3.8650614 5.88587937 5.36540351
|
||||
1.64255353 4.61695766 9.95523663 6.6684 ]
|
||||
[10.73905189 8.70143262 12.44606006 5.88587937 8.96326666 8.17066394
|
||||
2.50135015 7.03089888 15.16025642 10.15492225]
|
||||
[ 9.78942024 7.93198333 11.34548129 5.36540351 8.17066394 7.44814941
|
||||
2.28016105 6.40917136 13.819667 9.25694395]
|
||||
[ 2.99691286 2.42828097 3.47328217 1.64255353 2.50135015 2.28016105
|
||||
0.69804379 1.96209046 4.23072426 2.83390167]
|
||||
[ 8.42384711 6.82551297 9.76284574 4.61695766 7.03089888 6.40917136
|
||||
1.96209046 5.51512534 11.89189544 7.96564848]
|
||||
[18.16377739 14.71739653 21.05097048 9.95523663 15.16025642 13.819667
|
||||
4.23072426 11.89189544 25.64169777 17.17579438]
|
||||
[12.166796 9.85827768 14.10074886 6.6684 10.15492225 9.25694395
|
||||
2.83390167 7.96564848 17.17579438 11.50500702]]
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -1454,15 +1449,15 @@ more practically oriented methods like the blocking technique.</p>
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.06895120441963641
|
||||
3.74382855355186
|
||||
-0.2186383556244991
|
||||
0.8186111112149481 8.041491608761895 5.824398367359107
|
||||
2.4292738814902837 1.6663000899456695 4.915994880963659
|
||||
[[0.81861111 2.42927388 1.66630009]
|
||||
[2.42927388 8.04149161 4.91599488]
|
||||
[1.66630009 4.91599488 5.82439837]]
|
||||
[12.69915666 0.06805927 1.91728516]
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.021442867969978376
|
||||
4.117524456004779
|
||||
0.06378292739195897
|
||||
0.9888063524440697 9.919191379006188 17.823611314267136
|
||||
2.969136019500522 3.214525177223236 9.842379203904565
|
||||
[[ 0.98880635 2.96913602 3.21452518]
|
||||
[ 2.96913602 9.91919138 9.8423792 ]
|
||||
[ 3.21452518 9.8423792 17.82361131]]
|
||||
[25.24964689 0.08489291 3.39706925]
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -1869,7 +1864,7 @@ assumption for approximating <span class="math notranslate nohighlight">\(\sigma
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.052276839521249285 0.9675166677604984
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.04067115014325762 0.9243683507629109
|
||||
</pre></div>
|
||||
</div>
|
||||
<img alt="_images/chapter2_184_1.png" src="_images/chapter2_184_1.png" />
|
||||
|
||||
@@ -120,6 +120,11 @@
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
</nav>
|
||||
@@ -645,8 +650,8 @@ developed in the 1970s, namely EISPACK and LINPACK. We describe them shortly he
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ 0.99499832 -0.89728339 -1.69744895 -1.03875025 -0.07638981 0.18716123
|
||||
-0.27804028 0.72149922 1.25862131 -0.7970463 ]
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[-0.36370241 0.57281693 0.31446735 -1.74797657 -1.47723222 -1.24113195
|
||||
-0.714415 -1.26679543 -0.27301697 0.6793838 ]
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -120,6 +120,11 @@
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
</nav>
|
||||
@@ -1751,13 +1756,13 @@ but now splitting the data into a training set and a test set.</p>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Training R2
|
||||
0.9999886705644145
|
||||
0.9999854211447763
|
||||
Training MSE
|
||||
3.90943518299982
|
||||
6.298065171189058
|
||||
Test R2
|
||||
0.9999697792755088
|
||||
0.9999855160996954
|
||||
Test MSE
|
||||
25.32441051671905
|
||||
7.1872710004915445
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -1888,7 +1893,7 @@ dtype: int64
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span><matplotlib.axes._subplots.AxesSubplot at 0x7fb5be1db040>
|
||||
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span><matplotlib.axes._subplots.AxesSubplot at 0x7f9dd7c37eb0>
|
||||
</pre></div>
|
||||
</div>
|
||||
<img alt="_images/chapter4_131_1.png" src="_images/chapter4_131_1.png" />
|
||||
@@ -2174,27 +2179,27 @@ techniques.</p>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>MSE before scaling: 0.00
|
||||
R2 score before scaling 0.99
|
||||
Feature min values before scaling:
|
||||
[1.00000000e+00 1.97624658e-03 6.76071445e-04 3.90555053e-06
|
||||
1.33608388e-06 4.57072598e-07 7.71833086e-09 2.64043119e-09
|
||||
9.03288157e-10 3.09013732e-10 1.52533249e-11 5.21814310e-12
|
||||
1.78512013e-12 6.10687329e-13 2.08915360e-13 3.01443312e-14
|
||||
1.03123374e-14 3.52783754e-15 1.20686874e-15 4.12868265e-16
|
||||
1.41241709e-16]
|
||||
[1.00000000e+00 1.00405815e-03 3.33637629e-03 1.00813277e-06
|
||||
3.34991581e-06 1.11314068e-05 1.01222393e-09 3.36351028e-09
|
||||
1.11765797e-08 3.71385616e-08 1.01633169e-12 3.37715992e-12
|
||||
1.12219360e-11 3.72892756e-11 1.23908217e-10 1.02045611e-15
|
||||
3.39086494e-15 1.12674763e-14 3.74406011e-14 1.24411055e-13
|
||||
4.13404436e-13]
|
||||
Feature max values before scaling:
|
||||
[1. 0.99729116 0.99990303 0.99458965 0.99719445 0.99980607
|
||||
0.99189546 0.9944932 0.99709775 0.99970911 0.98920857 0.99179928
|
||||
0.99439677 0.99700106 0.99961217 0.98652896 0.98911265 0.9917031
|
||||
0.99430034 0.99690438 0.99951524]
|
||||
[1. 0.99985941 0.99746704 0.99971883 0.99732681 0.99494051
|
||||
0.99957828 0.99718659 0.99480062 0.99242037 0.99943775 0.99704639
|
||||
0.99466076 0.99228084 0.98990661 0.99929723 0.99690622 0.99452092
|
||||
0.99214133 0.98976744 0.98739922]
|
||||
Feature min values after scaling:
|
||||
[ 0. -1.72006556 -1.76752166 -1.10773734 -1.11611153 -1.12503152
|
||||
-0.87804483 -0.88146268 -0.88496565 -0.8885653 -0.75100539 -0.75305518
|
||||
-0.75511928 -0.75719979 -0.75929911 -0.66720819 -0.66863343 -0.67005915
|
||||
-0.67148589 -0.67291428 -0.67434497]
|
||||
[ 0. -1.79147165 -1.7862625 -1.1584177 -1.16385875 -1.16903529
|
||||
-0.9111456 -0.91736698 -0.92355665 -0.92969742 -0.77335697 -0.77892437
|
||||
-0.78453895 -0.79019355 -0.79588019 -0.6835654 -0.68819847 -0.69289982
|
||||
-0.69766733 -0.70249839 -0.70738995]
|
||||
Feature max values after scaling:
|
||||
[0. 1.74774217 1.73485006 2.2506647 2.23491553 2.21893993
|
||||
2.6752011 2.65930564 2.64314172 2.62671501 3.05237641 3.03669249
|
||||
3.02075875 3.00457804 2.98815333 3.39653406 3.38082542 3.36489022
|
||||
3.34873108 3.33235061 3.31575145]
|
||||
[0. 1.702894 1.66035996 2.19865243 2.16709986 2.13442274
|
||||
2.59980117 2.57660557 2.55254863 2.52759568 2.94821185 2.93060502
|
||||
2.91238065 2.89350743 2.8739528 3.26264844 3.24876534 3.23444979
|
||||
3.21967888 3.20442837 3.18867266]
|
||||
MSE after scaling: 0.00
|
||||
R2 score for scaled data: 0.99
|
||||
</pre></div>
|
||||
@@ -2784,10 +2789,10 @@ covariance matrix through the <strong>np.linalg.eig()</strong> function.</p>
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.12208685625303164
|
||||
4.452659449239899
|
||||
[[ 1.00910422 3.12769989]
|
||||
[ 3.12769989 10.63920917]]
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.012893004091480358
|
||||
4.036145788156587
|
||||
[[0.84855665 2.43974599]
|
||||
[2.43974599 8.11534493]]
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -2827,10 +2832,10 @@ a more brute force way. Here we scale the mean values for each column of the des
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.08487462066865184
|
||||
1.7716882265595972
|
||||
[[1. 0.74332853]
|
||||
[0.74332853 1. ]]
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.08534074521320528
|
||||
1.494502745126961
|
||||
[[1. 0.54933577]
|
||||
[0.54933577 1. ]]
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -2862,30 +2867,30 @@ this matrix we easily see that it is a positive definite matrix.</p>
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[-0.63821798 -2.03548189]
|
||||
[ 0.98355854 2.40965456]
|
||||
[ 0.48870683 2.68995497]
|
||||
[ 0.44655566 1.28908336]
|
||||
[ 0.3871261 -0.67155367]
|
||||
[-0.32256574 -0.55849157]
|
||||
[ 1.3507663 2.75066843]
|
||||
[-1.44489727 -5.37462032]
|
||||
[-0.42087991 1.26840089]
|
||||
[-0.83015254 -1.76761477]]
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[ 0.01162555 -0.25149407]
|
||||
[ 0.32741231 1.04530907]
|
||||
[-0.5034199 -1.57100552]
|
||||
[ 1.67655824 6.4270278 ]
|
||||
[-2.84730394 -8.72396496]
|
||||
[ 0.71213034 4.19282793]
|
||||
[ 0.6767474 0.58026128]
|
||||
[ 0.05853864 -0.83340221]
|
||||
[-0.2484568 -1.90992384]
|
||||
[ 0.13616818 1.04436453]]
|
||||
0 1
|
||||
0 -0.638218 -2.035482
|
||||
1 0.983559 2.409655
|
||||
2 0.488707 2.689955
|
||||
3 0.446556 1.289083
|
||||
4 0.387126 -0.671554
|
||||
5 -0.322566 -0.558492
|
||||
6 1.350766 2.750668
|
||||
7 -1.444897 -5.374620
|
||||
8 -0.420880 1.268401
|
||||
9 -0.830153 -1.767615
|
||||
0 1
|
||||
0 1.000000 0.877156
|
||||
1 0.877156 1.000000
|
||||
0 0.011626 -0.251494
|
||||
1 0.327412 1.045309
|
||||
2 -0.503420 -1.571006
|
||||
3 1.676558 6.427028
|
||||
4 -2.847304 -8.723965
|
||||
5 0.712130 4.192828
|
||||
6 0.676747 0.580261
|
||||
7 0.058539 -0.833402
|
||||
8 -0.248457 -1.909924
|
||||
9 0.136168 1.044365
|
||||
0 1
|
||||
0 1.0000 0.9645
|
||||
1 0.9645 1.0000
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -2945,37 +2950,37 @@ this matrix we easily see that it is a positive definite matrix.</p>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 0 1 2 3 4 5 6 7 \
|
||||
0 0.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
|
||||
1 0.0 0.085618 0.079643 0.085857 0.084047 0.081888 0.076531 0.075718
|
||||
2 0.0 0.079643 0.075359 0.078265 0.077130 0.075774 0.069143 0.068658
|
||||
3 0.0 0.085857 0.078265 0.090778 0.088194 0.085138 0.083648 0.082461
|
||||
4 0.0 0.084047 0.077130 0.088194 0.085938 0.083258 0.080985 0.079981
|
||||
5 0.0 0.081888 0.075774 0.085138 0.083258 0.081011 0.077856 0.077054
|
||||
6 0.0 0.076531 0.069143 0.083648 0.080985 0.077856 0.078889 0.077645
|
||||
7 0.0 0.075718 0.068658 0.082461 0.079981 0.077054 0.077645 0.076512
|
||||
8 0.0 0.074845 0.068154 0.081161 0.078881 0.076175 0.076275 0.075261
|
||||
9 0.0 0.073877 0.067608 0.079704 0.077645 0.075189 0.074736 0.073852
|
||||
10 0.0 0.067084 0.060409 0.075015 0.072536 0.069633 0.071991 0.070821
|
||||
11 0.0 0.066572 0.060088 0.074312 0.071948 0.069168 0.071268 0.070173
|
||||
12 0.0 0.066065 0.059784 0.073591 0.071348 0.068699 0.070516 0.069500
|
||||
13 0.0 0.065552 0.059492 0.072838 0.070724 0.068215 0.069723 0.068789
|
||||
14 0.0 0.065022 0.059205 0.072037 0.070061 0.067706 0.068871 0.068023
|
||||
1 0.0 0.067129 0.071920 0.066488 0.067965 0.069289 0.058136 0.058890
|
||||
2 0.0 0.071920 0.077903 0.072255 0.074320 0.076177 0.063662 0.064746
|
||||
3 0.0 0.066488 0.072255 0.070120 0.072252 0.074165 0.064037 0.065174
|
||||
4 0.0 0.067965 0.074320 0.072252 0.074718 0.076940 0.066275 0.067613
|
||||
5 0.0 0.069289 0.076177 0.074165 0.076940 0.079448 0.068289 0.069815
|
||||
6 0.0 0.058136 0.063662 0.064037 0.066275 0.068289 0.060371 0.061607
|
||||
7 0.0 0.058890 0.064746 0.065174 0.067613 0.069815 0.061607 0.062970
|
||||
8 0.0 0.059633 0.065798 0.066265 0.068894 0.071275 0.062784 0.064269
|
||||
9 0.0 0.060376 0.066836 0.067327 0.070137 0.072691 0.063919 0.065523
|
||||
10 0.0 0.049985 0.054935 0.056831 0.058951 0.060864 0.054874 0.056079
|
||||
11 0.0 0.050516 0.055671 0.057601 0.059851 0.061888 0.055712 0.057004
|
||||
12 0.0 0.051063 0.056417 0.058372 0.060747 0.062904 0.056542 0.057918
|
||||
13 0.0 0.051629 0.057177 0.059149 0.061648 0.063923 0.057370 0.058831
|
||||
14 0.0 0.052218 0.057957 0.059939 0.062558 0.064951 0.058203 0.059747
|
||||
|
||||
8 9 10 11 12 13 14
|
||||
0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
|
||||
1 0.074845 0.073877 0.067084 0.066572 0.066065 0.065552 0.065022
|
||||
2 0.068154 0.067608 0.060409 0.060088 0.059784 0.059492 0.059205
|
||||
3 0.081161 0.079704 0.075015 0.074312 0.073591 0.072838 0.072037
|
||||
4 0.078881 0.077645 0.072536 0.071948 0.071348 0.070724 0.070061
|
||||
5 0.076175 0.075189 0.069633 0.069168 0.068699 0.068215 0.067706
|
||||
6 0.076275 0.074736 0.071991 0.071268 0.070516 0.069723 0.068871
|
||||
7 0.075261 0.073852 0.070821 0.070173 0.069500 0.068789 0.068023
|
||||
8 0.074139 0.072869 0.069531 0.068962 0.068371 0.067746 0.067072
|
||||
9 0.072869 0.071752 0.068081 0.067595 0.067092 0.066559 0.065985
|
||||
10 0.069531 0.068081 0.066617 0.065944 0.065240 0.064493 0.063686
|
||||
11 0.068962 0.067595 0.065944 0.065324 0.064676 0.063985 0.063237
|
||||
12 0.068371 0.067092 0.065240 0.064676 0.064083 0.063452 0.062765
|
||||
13 0.067746 0.066559 0.064493 0.063985 0.063452 0.062881 0.062258
|
||||
14 0.067072 0.065985 0.063686 0.063237 0.062765 0.062258 0.061702
|
||||
1 0.059633 0.060376 0.049985 0.050516 0.051063 0.051629 0.052218
|
||||
2 0.065798 0.066836 0.054935 0.055671 0.056417 0.057177 0.057957
|
||||
3 0.066265 0.067327 0.056831 0.057601 0.058372 0.059149 0.059939
|
||||
4 0.068894 0.070137 0.058951 0.059851 0.060747 0.061648 0.062558
|
||||
5 0.071275 0.072691 0.060864 0.061888 0.062904 0.063923 0.064951
|
||||
6 0.062784 0.063919 0.054874 0.055712 0.056542 0.057370 0.058203
|
||||
7 0.064269 0.065523 0.056079 0.057004 0.057918 0.058831 0.059747
|
||||
8 0.065687 0.067056 0.057224 0.058233 0.059231 0.060226 0.061224
|
||||
9 0.067056 0.068537 0.058326 0.059418 0.060497 0.061573 0.062652
|
||||
10 0.057224 0.058326 0.050807 0.051634 0.052448 0.053259 0.054070
|
||||
11 0.058233 0.059418 0.051634 0.052522 0.053398 0.054270 0.055142
|
||||
12 0.059231 0.060497 0.052448 0.053398 0.054336 0.055268 0.056202
|
||||
13 0.060226 0.061573 0.053259 0.054270 0.055268 0.056262 0.057257
|
||||
14 0.061224 0.062652 0.054070 0.055142 0.056202 0.057257 0.058313
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -3325,10 +3330,10 @@ number <span class="math notranslate nohighlight">\(i\)</span> is left out. Usin
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Runtime: 0.430516 sec
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Runtime: 0.410282 sec
|
||||
Jackknife Statistics :
|
||||
original bias std. error
|
||||
100.186 100.176 0.153008
|
||||
100.139 100.129 0.148994
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -3470,10 +3475,10 @@ theorem.</p>
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Runtime: 2.20285 sec
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Runtime: 2.02233 sec
|
||||
Bootstrap Statistics :
|
||||
original bias std. error
|
||||
100.167 14.919 100.169 0.150847
|
||||
100.067 14.9691 100.07 0.150582
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output traceback highlight-ipythontb notranslate"><div class="highlight"><pre><span></span><span class="gt">---------------------------------------------------------------------------</span>
|
||||
|
||||
@@ -120,6 +120,11 @@
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
</nav>
|
||||
|
||||
@@ -120,6 +120,11 @@
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
</nav>
|
||||
|
||||
@@ -120,6 +120,11 @@
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
</nav>
|
||||
|
||||
@@ -38,6 +38,7 @@
|
||||
<script async="async" src="_static/sphinx-thebe.js"></script>
|
||||
<link rel="index" title="Index" href="genindex.html" />
|
||||
<link rel="search" title="Search" href="search.html" />
|
||||
<link rel="next" title="8. Convolutional Neural Networks" href="chapter9.html" />
|
||||
<link rel="prev" title="6. Support Vector Machines, overarching aims" href="chapter7.html" />
|
||||
|
||||
<meta name="viewport" content="width=device-width, initial-scale=1">
|
||||
@@ -119,6 +120,11 @@
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
</nav>
|
||||
@@ -540,29 +546,29 @@ techniques.</p>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>MSE before scaling: 0.01
|
||||
R2 score before scaling 0.93
|
||||
R2 score before scaling 0.94
|
||||
Feature min values before scaling:
|
||||
[1.00000000e+00 7.43297505e-04 1.67887686e-04 5.52491181e-07
|
||||
1.24790498e-07 2.81862750e-08 4.10665316e-10 9.27564656e-11
|
||||
2.09507879e-11 4.73212847e-12 3.05246505e-13 6.89456494e-14
|
||||
1.55726683e-14 3.51737928e-15 7.94466097e-16 2.26888965e-16
|
||||
5.12471292e-17 1.15751255e-17 2.61445925e-18 5.90524667e-19
|
||||
1.33381074e-19]
|
||||
[1.00000000e+00 2.52277631e-04 1.58998839e-03 6.36440033e-08
|
||||
4.01118504e-07 2.52806307e-06 1.60559584e-11 1.01193226e-10
|
||||
6.37773764e-10 4.01959093e-09 4.05055916e-15 2.55287874e-14
|
||||
1.60896055e-13 1.01405288e-12 6.39110289e-12 1.02186547e-18
|
||||
6.44034203e-18 4.05904756e-17 2.55822858e-16 1.61233230e-15
|
||||
1.01617794e-14]
|
||||
Feature max values before scaling:
|
||||
[1. 0.99422559 0.99481826 0.98848453 0.98907377 0.98966337
|
||||
0.98277662 0.98336246 0.98394865 0.98453519 0.97710167 0.97768412
|
||||
0.97826693 0.97885008 0.97943358 0.97145948 0.97203858 0.97261802
|
||||
0.9731978 0.97377793 0.97435841]
|
||||
[1. 0.99869632 0.999475 0.99739435 0.998172 0.99895027
|
||||
0.99609407 0.99687071 0.99764796 0.99842581 0.99479548 0.99557111
|
||||
0.99634735 0.99712419 0.99790164 0.99349859 0.99427321 0.99504844
|
||||
0.99582426 0.99660069 0.99737773]
|
||||
Feature min values after scaling:
|
||||
[ 0. -1.7697784 -1.72415276 -1.14649434 -1.12953807 -1.11320874
|
||||
-0.90535485 -0.8968819 -0.88864254 -0.88062733 -0.77069333 -0.76574003
|
||||
-0.76089806 -0.7561637 -0.75153337 -0.68210821 -0.6789547 -0.67586334
|
||||
-0.67283231 -0.66985986 -0.66694428]
|
||||
[ 0. -1.70327945 -1.70487638 -1.10269333 -1.11031464 -1.11779074
|
||||
-0.8675412 -0.87387845 -0.88025384 -0.88666051 -0.73621263 -0.74081963
|
||||
-0.74548023 -0.75019465 -0.75496285 -0.65064103 -0.65385832 -0.65711132
|
||||
-0.66040159 -0.66373067 -0.66710007]
|
||||
Feature max values after scaling:
|
||||
[0. 1.68453745 1.71039356 2.1618639 2.17707405 2.19168422
|
||||
2.54536814 2.55730765 2.56887875 2.58009023 2.87398064 2.88442648
|
||||
2.89461285 2.90454384 2.91422324 3.16472629 3.17449812 3.18407693
|
||||
3.19346461 3.20266288 3.21167335]
|
||||
[0. 1.7648157 1.69590827 2.29614193 2.24159129 2.18630067
|
||||
2.72674862 2.67767959 2.62822832 2.57838874 3.10180456 3.05384136
|
||||
3.0057178 2.95743601 2.90899738 3.44157349 3.39262419 3.3436382
|
||||
3.2946235 3.24558749 3.196537 ]
|
||||
MSE after scaling: 0.00
|
||||
R2 score for scaled data: 0.97
|
||||
</pre></div>
|
||||
@@ -637,9 +643,7 @@ Feature max values before scaling:
|
||||
Feature min values before scaling:
|
||||
[0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0. 0.
|
||||
0. 0. 0. 0. 0. 0.]
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Feature max values before scaling:
|
||||
Feature max values before scaling:
|
||||
[1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1. 1.
|
||||
1. 1. 1. 1. 1. 1.]
|
||||
Test set accuracy scaled data with Min-Max scaling: 0.97
|
||||
@@ -679,7 +683,9 @@ Test set accuracy scaled data with Standar Scaler: 0.96
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Test set accuracy: 0.95
|
||||
Test set accuracy scaled data: 0.96
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Test set accuracy scaled data: 0.96
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/sklearn/linear_model/_logistic.py:762: ConvergenceWarning: lbfgs failed to converge (status=1):
|
||||
@@ -947,10 +953,10 @@ covariance matrix through the <strong>np.linalg.eig()</strong> function.</p>
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.039184456674535545
|
||||
4.128680426693387
|
||||
[[ 1.12297057 3.2186233 ]
|
||||
[ 3.2186233 10.11517976]]
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.07206099142503472
|
||||
4.125937788943556
|
||||
[[ 1.03889255 3.1254397 ]
|
||||
[ 3.1254397 10.77395298]]
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -990,10 +996,10 @@ a more brute force way. Here we scale the mean values for each column of the des
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.08474873038505544
|
||||
1.7239002399681738
|
||||
[[1. 0.62968416]
|
||||
[0.62968416 1. ]]
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.07865526085644693
|
||||
1.4346285243728323
|
||||
[[1. 0.63566281]
|
||||
[0.63566281 1. ]]
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -1025,30 +1031,30 @@ this matrix we easily see that it is a positive definite matrix.</p>
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[ 0.29439863 1.90169666]
|
||||
[ 1.67736015 3.10465335]
|
||||
[-0.55604865 -0.71001501]
|
||||
[-0.86385893 -3.79843757]
|
||||
[-0.32231733 0.0602184 ]
|
||||
[-1.30134141 -3.01442901]
|
||||
[-0.46095356 0.49571687]
|
||||
[ 0.83524925 1.94721304]
|
||||
[-0.41069583 -1.37424606]
|
||||
[ 1.10820768 1.38762934]]
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[ 0.53680052 2.50858953]
|
||||
[-0.62753667 -1.74895806]
|
||||
[ 0.16570918 0.64706639]
|
||||
[-0.27228985 -0.08345099]
|
||||
[ 0.85643181 1.55737697]
|
||||
[-0.329196 -2.18391809]
|
||||
[ 0.92272798 2.91370357]
|
||||
[-0.37864859 -0.25719203]
|
||||
[-0.55226917 -1.4496257 ]
|
||||
[-0.32172921 -1.9035916 ]]
|
||||
0 1
|
||||
0 0.294399 1.901697
|
||||
1 1.677360 3.104653
|
||||
2 -0.556049 -0.710015
|
||||
3 -0.863859 -3.798438
|
||||
4 -0.322317 0.060218
|
||||
5 -1.301341 -3.014429
|
||||
6 -0.460954 0.495717
|
||||
7 0.835249 1.947213
|
||||
8 -0.410696 -1.374246
|
||||
9 1.108208 1.387629
|
||||
0 0.536801 2.508590
|
||||
1 -0.627537 -1.748958
|
||||
2 0.165709 0.647066
|
||||
3 -0.272290 -0.083451
|
||||
4 0.856432 1.557377
|
||||
5 -0.329196 -2.183918
|
||||
6 0.922728 2.913704
|
||||
7 -0.378649 -0.257192
|
||||
8 -0.552269 -1.449626
|
||||
9 -0.321729 -1.903592
|
||||
0 1
|
||||
0 1.000000 0.883341
|
||||
1 0.883341 1.000000
|
||||
0 1.000000 0.907143
|
||||
1 0.907143 1.000000
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -1108,37 +1114,37 @@ this matrix we easily see that it is a positive definite matrix.</p>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 0 1 2 3 4 5 6 7 \
|
||||
0 0.0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
|
||||
1 0.0 0.088096 0.086427 0.083845 0.082640 0.081425 0.073689 0.072606
|
||||
2 0.0 0.086427 0.085149 0.082400 0.081356 0.080291 0.072444 0.071452
|
||||
3 0.0 0.083845 0.082400 0.085937 0.084688 0.083422 0.079032 0.077855
|
||||
4 0.0 0.082640 0.081356 0.084688 0.083531 0.082352 0.077865 0.076753
|
||||
5 0.0 0.081425 0.080291 0.083422 0.082352 0.081256 0.076682 0.075632
|
||||
6 0.0 0.073689 0.072444 0.079032 0.077865 0.076682 0.074903 0.073780
|
||||
7 0.0 0.072606 0.071452 0.077855 0.076753 0.075632 0.073780 0.072708
|
||||
8 0.0 0.071547 0.070480 0.076701 0.075660 0.074600 0.072677 0.071655
|
||||
9 0.0 0.070513 0.069529 0.075570 0.074589 0.073587 0.071595 0.070622
|
||||
10 0.0 0.064543 0.063450 0.071358 0.070294 0.069218 0.069100 0.068064
|
||||
11 0.0 0.063581 0.062551 0.070288 0.069275 0.068248 0.068065 0.067072
|
||||
12 0.0 0.062646 0.061677 0.069247 0.068283 0.067304 0.067057 0.066105
|
||||
13 0.0 0.061738 0.060828 0.068235 0.067318 0.066385 0.066075 0.065164
|
||||
14 0.0 0.060857 0.060003 0.067250 0.066378 0.065490 0.065119 0.064247
|
||||
1 0.0 0.076168 0.080935 0.078268 0.081921 0.085682 0.070727 0.073798
|
||||
2 0.0 0.080935 0.086925 0.081766 0.086005 0.090410 0.072900 0.076302
|
||||
3 0.0 0.078268 0.081766 0.085075 0.088305 0.091557 0.079623 0.082640
|
||||
4 0.0 0.081921 0.086005 0.088305 0.091884 0.095514 0.082116 0.085368
|
||||
5 0.0 0.085682 0.090410 0.091557 0.095514 0.099557 0.084565 0.088068
|
||||
6 0.0 0.070727 0.072900 0.079623 0.082116 0.084565 0.076371 0.078937
|
||||
7 0.0 0.073798 0.076302 0.082640 0.085368 0.088068 0.078937 0.081684
|
||||
8 0.0 0.077019 0.079892 0.085767 0.088751 0.091725 0.081567 0.084509
|
||||
9 0.0 0.080401 0.083686 0.089005 0.092271 0.095547 0.084258 0.087409
|
||||
10 0.0 0.062426 0.063699 0.072024 0.073913 0.075721 0.070361 0.072486
|
||||
11 0.0 0.065031 0.066507 0.074745 0.076802 0.078786 0.072797 0.075066
|
||||
12 0.0 0.067773 0.069474 0.077585 0.079825 0.082002 0.075324 0.077748
|
||||
13 0.0 0.070658 0.072612 0.080551 0.082990 0.085376 0.077944 0.080532
|
||||
14 0.0 0.073697 0.075932 0.083645 0.086302 0.088919 0.080656 0.083422
|
||||
|
||||
8 9 10 11 12 13 14
|
||||
0 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000 0.000000
|
||||
1 0.071547 0.070513 0.064543 0.063581 0.062646 0.061738 0.060857
|
||||
2 0.070480 0.069529 0.063450 0.062551 0.061677 0.060828 0.060003
|
||||
3 0.076701 0.075570 0.071358 0.070288 0.069247 0.068235 0.067250
|
||||
4 0.075660 0.074589 0.070294 0.069275 0.068283 0.067318 0.066378
|
||||
5 0.074600 0.073587 0.069218 0.068248 0.067304 0.066385 0.065490
|
||||
6 0.072677 0.071595 0.069100 0.068065 0.067057 0.066075 0.065119
|
||||
7 0.071655 0.070622 0.068064 0.067072 0.066105 0.065164 0.064247
|
||||
8 0.070650 0.069664 0.067046 0.066096 0.065170 0.064268 0.063389
|
||||
9 0.069664 0.068722 0.066047 0.065138 0.064251 0.063387 0.062545
|
||||
10 0.067046 0.066047 0.064786 0.063821 0.062880 0.061964 0.061071
|
||||
11 0.066096 0.065138 0.063821 0.062893 0.061989 0.061108 0.060249
|
||||
12 0.065170 0.064251 0.062880 0.061989 0.061120 0.060273 0.059447
|
||||
13 0.064268 0.063387 0.061964 0.061108 0.060273 0.059458 0.058665
|
||||
14 0.063389 0.062545 0.061071 0.060249 0.059447 0.058665 0.057901
|
||||
1 0.077019 0.080401 0.062426 0.065031 0.067773 0.070658 0.073697
|
||||
2 0.079892 0.083686 0.063699 0.066507 0.069474 0.072612 0.075932
|
||||
3 0.085767 0.089005 0.072024 0.074745 0.077585 0.080551 0.083645
|
||||
4 0.088751 0.092271 0.073913 0.076802 0.079825 0.082990 0.086302
|
||||
5 0.091725 0.095547 0.075721 0.078786 0.082002 0.085376 0.088919
|
||||
6 0.081567 0.084258 0.070361 0.072797 0.075324 0.077944 0.080656
|
||||
7 0.084509 0.087409 0.072486 0.075066 0.077748 0.080532 0.083422
|
||||
8 0.087542 0.090669 0.074644 0.077376 0.080221 0.083181 0.086261
|
||||
9 0.090669 0.094040 0.076827 0.079721 0.082739 0.085887 0.089170
|
||||
10 0.074644 0.076827 0.065759 0.067867 0.070042 0.072284 0.074590
|
||||
11 0.077376 0.079721 0.067867 0.070098 0.072403 0.074782 0.077234
|
||||
12 0.080221 0.082739 0.070042 0.072403 0.074845 0.077371 0.079979
|
||||
13 0.083181 0.085887 0.072284 0.074782 0.077371 0.080053 0.082828
|
||||
14 0.086261 0.089170 0.074590 0.077234 0.079979 0.082828 0.085781
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -1335,10 +1341,10 @@ We can write our own code or simply use either the functionaly of <strong>numpy<
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span> 0 1
|
||||
0 4.050693 2.010827
|
||||
1 2.010827 1.974163
|
||||
[[4.050693 2.01082738]
|
||||
[2.01082738 1.97416255]]
|
||||
0 3.884269 1.937050
|
||||
1 1.937050 1.951359
|
||||
[[3.88426936 1.93705016]
|
||||
[1.93705016 1.95135877]]
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -1365,8 +1371,8 @@ Our own code here is not very elegant and asks for obvious improvements. It is t
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Centered covariance using own code
|
||||
[[4.050693 2.01082738]
|
||||
[2.01082738 1.97416255]]
|
||||
[[3.88426936 1.93705016]
|
||||
[1.93705016 1.95135877]]
|
||||
</pre></div>
|
||||
</div>
|
||||
<img alt="_images/chapter8_77_1.png" src="_images/chapter8_77_1.png" />
|
||||
@@ -1426,14 +1432,16 @@ questions.</p>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Eigenvalues of Covariance matrix
|
||||
5.275483542917728
|
||||
0.7493720026008108
|
||||
5.082577137078103
|
||||
0.7530509884519185
|
||||
First eigenvector
|
||||
[0.85404598 0.52019753]
|
||||
[0.85042593 0.5260948 ]
|
||||
Second eigenvector
|
||||
[-0.52019753 0.85404598]
|
||||
Eigenvector of largest eigenvalue
|
||||
[0.85404598 0.52019753]
|
||||
[-0.5260948 0.85042593]
|
||||
</pre></div>
|
||||
</div>
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Eigenvector of largest eigenvalue
|
||||
[-0.85042593 -0.5260948 ]
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
@@ -1955,6 +1963,7 @@ these local relationships are best preserved (more details shortly).</p>
|
||||
<div class='prev-next-bottom'>
|
||||
|
||||
<a class='left-prev' id="prev-link" href="chapter7.html" title="previous page"><span class="section-number">6. </span>Support Vector Machines, overarching aims</a>
|
||||
<a class='right-next' id="next-link" href="chapter9.html" title="next page"><span class="section-number">8. </span>Convolutional Neural Networks</a>
|
||||
|
||||
</div>
|
||||
<footer class="footer mt-5 mt-md-0">
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -118,6 +118,11 @@
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
</nav>
|
||||
|
||||
Binary file not shown.
@@ -17,42 +17,15 @@ Traceback (most recent call last):
|
||||
raise CellExecutionError.from_cell_and_msg(cell, exec_reply['content'])
|
||||
nbclient.exceptions.CellExecutionError: An error occurred while executing the following cell:
|
||||
------------------
|
||||
# Blocking
|
||||
@timeFunction
|
||||
def blocking(self, blockSizeMax = 500):
|
||||
blockSizeMin = 1
|
||||
|
||||
self.blockSizes = []
|
||||
self.meanVec = []
|
||||
self.varVec = []
|
||||
|
||||
for i in range(blockSizeMin, blockSizeMax):
|
||||
if(len(self.data) % i != 0):
|
||||
pass#continue
|
||||
blockSize = i
|
||||
meanTempVec = []
|
||||
varTempVec = []
|
||||
startPoint = 0
|
||||
endPoint = blockSize
|
||||
|
||||
while endPoint <= len(self.data):
|
||||
meanTempVec.append(np.average(self.data[startPoint:endPoint]))
|
||||
startPoint = endPoint
|
||||
endPoint += blockSize
|
||||
mean, var = np.average(meanTempVec), np.var(meanTempVec)/len(meanTempVec)
|
||||
self.meanVec.append(mean)
|
||||
self.varVec.append(var)
|
||||
self.blockSizes.append(blockSize)
|
||||
|
||||
self.blockingAvg = np.average(self.meanVec[-200:])
|
||||
self.blockingVar = (np.average(self.varVec[-200:]))
|
||||
self.blockingStd = np.sqrt(self.blockingVar)
|
||||
import numpy as np
|
||||
x = np.log(np.array([4.0, 7.0, 8.0])
|
||||
print(x)
|
||||
------------------
|
||||
|
||||
[0;36m File [0;32m"<ipython-input-6-2ff97f4bf03b>"[0;36m, line [0;32m2[0m
|
||||
[0;31m @timeFunction[0m
|
||||
[0;36m File [0;32m"<ipython-input-20-f6d7a289d493>"[0;36m, line [0;32m3[0m
|
||||
[0;31m print(x)[0m
|
||||
[0m ^[0m
|
||||
[0;31mIndentationError[0m[0;31m:[0m unexpected indent
|
||||
[0;31mSyntaxError[0m[0;31m:[0m invalid syntax
|
||||
|
||||
IndentationError: unexpected indent (<ipython-input-6-2ff97f4bf03b>, line 2)
|
||||
SyntaxError: invalid syntax (<ipython-input-20-f6d7a289d493>, line 3)
|
||||
|
||||
|
||||
@@ -0,0 +1,39 @@
|
||||
Traceback (most recent call last):
|
||||
File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 604, in _async_poll_for_reply
|
||||
msg = await ensure_async(self.kc.shell_channel.get_msg(timeout=new_timeout))
|
||||
File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 85, in ensure_async
|
||||
result = await obj
|
||||
File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/jupyter_client/asynchronous/channels.py", line 48, in get_msg
|
||||
raise Empty
|
||||
_queue.Empty
|
||||
|
||||
During handling of the above exception, another exception occurred:
|
||||
|
||||
Traceback (most recent call last):
|
||||
File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/jupyter_cache/executors/utils.py", line 51, in single_nb_execution
|
||||
executenb(
|
||||
File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 1082, in execute
|
||||
return NotebookClient(nb=nb, resources=resources, km=km, **kwargs).execute()
|
||||
File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 74, in wrapped
|
||||
return just_run(coro(*args, **kwargs))
|
||||
File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/util.py", line 53, in just_run
|
||||
return loop.run_until_complete(coro)
|
||||
File "/Users/hjensen/opt/anaconda3/lib/python3.8/asyncio/base_events.py", line 616, in run_until_complete
|
||||
return future.result()
|
||||
File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 535, in async_execute
|
||||
await self.async_execute_cell(
|
||||
File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 811, in async_execute_cell
|
||||
exec_reply = await self.task_poll_for_reply
|
||||
File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 628, in _async_poll_for_reply
|
||||
await self._async_handle_timeout(timeout, cell)
|
||||
File "/Users/hjensen/opt/anaconda3/lib/python3.8/site-packages/nbclient/client.py", line 678, in _async_handle_timeout
|
||||
raise CellTimeoutError.error_from_timeout_and_cell(
|
||||
nbclient.exceptions.CellTimeoutError: A cell timed out while it was being executed, after 30 seconds.
|
||||
The message was: Cell execution timed out.
|
||||
Here is a preview of the cell contents:
|
||||
-------------------
|
||||
['CNN_keras = np.zeros((len(eta_vals), len(lmbd_vals)), dtype=object)', ' ', 'for i, eta in enumerate(eta_vals):', ' for j, lmbd in enumerate(lmbd_vals):', ' CNN = create_convolutional_neural_network_keras(input_shape, receptive_field,']
|
||||
...
|
||||
[' ', ' print("Learning rate = ", eta)', ' print("Lambda = ", lmbd)', ' print("Test accuracy: %.3f" % scores[1])', ' print()']
|
||||
-------------------
|
||||
|
||||
@@ -123,6 +123,11 @@
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
</nav>
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
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|
||||
</ul>
|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
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|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../chapter2.html#id9">
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||||
8. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0">
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||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
@@ -1613,8 +1553,8 @@ developed in the 1970s, namely EISPACK and LINPACK. We describe them shortly he
|
||||
</div>
|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ 1.54613374 -0.53808134 -0.25599148 -2.19980623 -1.26614367 2.09110254
|
||||
0.54374681 0.6362131 1.04152939 -1.69246995]
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[-1.17029256 1.16440383 -0.52324284 0.91883189 -0.05688344 -0.80125589
|
||||
1.85759035 -1.11063616 0.67761635 0.09188807]
|
||||
</pre></div>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#which-rng-should-i-use">
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
<a class="reference internal" href="../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../chapter6.html">
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||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
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|
||||
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|
||||
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||||
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|
||||
6. Support Vector Machines, overarching aims
|
||||
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||||
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|
||||
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||||
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||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
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|
||||
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|
||||
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|
||||
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8. Convolutional Neural Networks
|
||||
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|
||||
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|
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|
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|
||||
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|
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|
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5. Random number generator RNG and periodic outputs
|
||||
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<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-its-period">
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6. Random number generator RNG and its period
|
||||
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<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-other-examples">
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7. Random number generator RNG, other examples
|
||||
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8. Random number generator RNG, other examples
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||||
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||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0">
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9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
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|
||||
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<a class="reference internal" href="../../../chapter2.html#id10">
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10. Random number generator RNG, RAN0
|
||||
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|
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<a class="reference internal" href="../../../chapter2.html#id11">
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11. Random number generator RNG, RAN0
|
||||
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||||
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|
||||
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12. Random number generator RNG, RAN0
|
||||
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||||
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<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0-code">
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13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
<a class="reference internal" href="../../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
<a class="reference internal" href="../../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
<a class="reference internal" href="../../../chapter9.html">
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8. Convolutional Neural Networks
|
||||
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|
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|
||||
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|
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|
||||
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|
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<a class="reference internal" href="../../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
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|
||||
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|
||||
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|
||||
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||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng">
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4. Random number generator RNG
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
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5. Random number generator RNG and periodic outputs
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-its-period">
|
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6. Random number generator RNG and its period
|
||||
</a>
|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id9">
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8. Random number generator RNG, other examples
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
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3. Random Numbers, better name: pseudo random numbers
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../../../chapter2.html#random-number-generator-rng">
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||||
4. Random number generator RNG
|
||||
</a>
|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
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|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../../../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../../../chapter2.html#id12">
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
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|
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|
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng">
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|
||||
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|
||||
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||||
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||||
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|
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|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-its-period">
|
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|
||||
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|
||||
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|
||||
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|
||||
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||||
7. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0">
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||||
9. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../chapter2.html#id10">
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||||
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||||
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||||
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11. Random number generator RNG, RAN0
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||||
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|
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||||
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<a class="reference internal" href="../../../chapter2.html#id12">
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12. Random number generator RNG, RAN0
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||||
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|
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||||
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||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0-code">
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13. Random number generator RNG, RAN0 code
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../chapter2.html#which-rng-should-i-use">
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14. Which RNG should I use?
|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
<a class="reference internal" href="../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
<a class="reference internal" href="../../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
<a class="reference internal" href="../../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
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|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
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|
||||
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|
||||
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|
||||
|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
2. Random Numbers
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
4. Random number generator RNG
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
5. Random number generator RNG and periodic outputs
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#id9">
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||||
8. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
11. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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||||
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||||
12. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
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|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
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|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
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|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
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|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
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|
||||
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|
||||
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|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-numbers">
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
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|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
@@ -1613,8 +1553,8 @@ developed in the 1970s, namely EISPACK and LINPACK. We describe them shortly he
|
||||
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|
||||
</div>
|
||||
<div class="cell_output docutils container">
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ 0.37402521 -0.6723554 0.34705159 -0.23106244 0.37640289 1.26261376
|
||||
-1.28899002 0.59279401 -1.28878405 -0.82161508]
|
||||
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[-0.15903306 -1.03373868 0.31582494 -0.65395262 0.96308377 -0.89760255
|
||||
1.62466988 1.27946914 -0.71331923 -0.2179017 ]
|
||||
</pre></div>
|
||||
</div>
|
||||
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|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
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|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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||||
<a class="reference internal" href="../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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||||
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||||
13. Random number generator RNG, RAN0 code
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
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|
||||
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|
||||
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|
||||
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||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
2. Random Numbers
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
4. Random number generator RNG
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
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|
||||
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||||
8. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
12. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
<a class="reference internal" href="../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
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|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
<a class="reference internal" href="../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
<a class="reference internal" href="../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
<a class="reference internal" href="../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
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|
||||
<a class="reference internal" href="../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
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|
||||
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|
||||
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|
||||
|
||||
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|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
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|
||||
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|
||||
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|
||||
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|
||||
4. Random number generator RNG
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
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|
||||
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|
||||
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||||
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|
||||
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|
||||
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|
||||
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|
||||
<a class="reference internal" href="../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
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|
||||
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|
||||
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|
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<a class="reference internal" href="../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
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|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
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|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
+11
-71
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../../../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
@@ -88,99 +88,39 @@
|
||||
1. Elements of Probability Theory and Statistical Data Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-numbers">
|
||||
2. Random Numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-numbers-better-name-pseudo-random-numbers">
|
||||
3. Random Numbers, better name: pseudo random numbers
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng">
|
||||
4. Random number generator RNG
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-periodic-outputs">
|
||||
5. Random number generator RNG and periodic outputs
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-and-its-period">
|
||||
6. Random number generator RNG and its period
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-other-examples">
|
||||
7. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id9">
|
||||
8. Random number generator RNG, other examples
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0">
|
||||
9. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id10">
|
||||
10. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id11">
|
||||
11. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#id12">
|
||||
12. Random number generator RNG, RAN0
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#random-number-generator-rng-ran0-code">
|
||||
13. Random number generator RNG, RAN0 code
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter2.html#which-rng-should-i-use">
|
||||
14. Which RNG should I use?
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter3.html">
|
||||
15. Getting started, our first data and Machine Learning encounters
|
||||
2. Getting started, our first data and Machine Learning encounters
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter4.html">
|
||||
16. Linear Regression and more Advanced Regression Analysis
|
||||
3. Linear Regression and more Advanced Regression Analysis
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter5.html">
|
||||
17. Logistic Regression
|
||||
4. Logistic Regression
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter6.html">
|
||||
18. Neural networks, from the simple perceptron to deep learning
|
||||
5. Neural networks, from the simple perceptron to deep learning
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter7.html">
|
||||
19. Support Vector Machines, overarching aims
|
||||
6. Support Vector Machines, overarching aims
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter8.html">
|
||||
20. Dimensionality Reduction
|
||||
7. Dimensionality Reduction
|
||||
</a>
|
||||
</li>
|
||||
<li class="toctree-l1">
|
||||
<a class="reference internal" href="../chapter9.html">
|
||||
8. Convolutional Neural Networks
|
||||
</a>
|
||||
</li>
|
||||
</ul>
|
||||
|
||||
@@ -415,6 +415,7 @@
|
||||
"chapter6.ipynb\n",
|
||||
"chapter7.ipynb\n",
|
||||
"chapter8.ipynb\n",
|
||||
"chapter9.ipynb\n",
|
||||
"```\n"
|
||||
]
|
||||
}
|
||||
|
||||
@@ -404,4 +404,5 @@ chapter5.ipynb
|
||||
chapter6.ipynb
|
||||
chapter7.ipynb
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chapter8.ipynb
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chapter9.ipynb
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```
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" 1.85759035 -1.11063616 0.67761635 0.09188807]\n"
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}
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],
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"[ 0.37402521 -0.6723554 0.34705159 -0.23106244 0.37640289 1.26261376\n",
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" -1.28899002 0.59279401 -1.28878405 -0.82161508]\n"
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"[-0.15903306 -1.03373868 0.31582494 -0.65395262 0.96308377 -0.89760255\n",
|
||||
" 1.62466988 1.27946914 -0.71331923 -0.2179017 ]\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
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||||
;; -*- coding: utf-8; mode: Lisp; -*-
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;; style file for xindy
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;; filename: LICRcyr2utf8.xdy
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;; description: style file for xindy which maps back LaTeX Internal
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;; Character Representation of Cyrillic to utf-8
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;; usage: for use with pdflatex produced .idx files.
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;; Contributed by the Sphinx team, July 2018.
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(merge-rule "\IeC {\'\cyrg }" "ѓ" :string)
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(merge-rule "\IeC {\'\cyrk }" "ќ" :string)
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(merge-rule "\IeC {\CYRA }" "А" :string)
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(merge-rule "\IeC {\CYRB }" "Б" :string)
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(merge-rule "\IeC {\CYRC }" "Ц" :string)
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(merge-rule "\IeC {\CYRCH }" "Ч" :string)
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(merge-rule "\IeC {\CYRD }" "Д" :string)
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(merge-rule "\IeC {\CYRDJE }" "Ђ" :string)
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(merge-rule "\IeC {\CYRE }" "Е" :string)
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(merge-rule "\IeC {\CYRERY }" "Ы" :string)
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(merge-rule "\IeC {\CYRH }" "Х" :string)
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(merge-rule "\IeC {\CYRHRDSN }" "Ъ" :string)
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(merge-rule "\IeC {\CYRI }" "И" :string)
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(merge-rule "\IeC {\CYRIE }" "Є" :string)
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(merge-rule "\IeC {\CYRII }" "І" :string)
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(merge-rule "\IeC {\CYRISHRT }" "Й" :string)
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(merge-rule "\IeC {\CYRJE }" "Ј" :string)
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(merge-rule "\IeC {\CYRK }" "К" :string)
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(merge-rule "\IeC {\CYRLJE }" "Љ" :string)
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(merge-rule "\IeC {\CYRM }" "М" :string)
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(merge-rule "\IeC {\CYRN }" "Н" :string)
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(merge-rule "\IeC {\CYRNJE }" "Њ" :string)
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(merge-rule "\IeC {\CYRO }" "О" :string)
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(merge-rule "\IeC {\CYRR }" "Р" :string)
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(merge-rule "\IeC {\CYRS }" "С" :string)
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(merge-rule "\IeC {\CYRSFTSN }" "Ь" :string)
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(merge-rule "\IeC {\CYRSH }" "Ш" :string)
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(merge-rule "\IeC {\CYRTSHE }" "Ћ" :string)
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(merge-rule "\IeC {\CYRU }" "У" :string)
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(merge-rule "\IeC {\CYRYA }" "Я" :string)
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(merge-rule "\IeC {\CYRYI }" "Ї" :string)
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(merge-rule "\IeC {\CYRYO }" "Ё" :string)
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(merge-rule "\IeC {\CYRYU }" "Ю" :string)
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(merge-rule "\IeC {\CYRZ }" "З" :string)
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(merge-rule "\IeC {\CYRZH }" "Ж" :string)
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(merge-rule "\IeC {\cyra }" "а" :string)
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(merge-rule "\IeC {\cyrie }" "є" :string)
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(merge-rule "\IeC {\cyrishrt }" "й" :string)
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(merge-rule "\IeC {\cyrje }" "ј" :string)
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(merge-rule "\IeC {\cyrk }" "к" :string)
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(merge-rule "\IeC {\cyrl }" "л" :string)
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(merge-rule "\IeC {\cyrlje }" "љ" :string)
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(merge-rule "\IeC {\cyrm }" "м" :string)
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(merge-rule "\IeC {\cyrn }" "н" :string)
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(merge-rule "\IeC {\cyrnje }" "њ" :string)
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||||
(merge-rule "\IeC {\cyro }" "о" :string)
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(merge-rule "\IeC {\cyrp }" "п" :string)
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(merge-rule "\IeC {\cyrr }" "р" :string)
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(merge-rule "\IeC {\cyrs }" "с" :string)
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(merge-rule "\IeC {\cyrsftsn }" "ь" :string)
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(merge-rule "\IeC {\cyrsh }" "ш" :string)
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(merge-rule "\IeC {\cyrshch }" "щ" :string)
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||||
(merge-rule "\IeC {\cyrt }" "т" :string)
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||||
(merge-rule "\IeC {\cyrtshe }" "ћ" :string)
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(merge-rule "\IeC {\cyru }" "у" :string)
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(merge-rule "\IeC {\cyrushrt }" "ў" :string)
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(merge-rule "\IeC {\cyrv }" "в" :string)
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(merge-rule "\IeC {\cyrya }" "я" :string)
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(merge-rule "\IeC {\cyryi }" "ї" :string)
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(merge-rule "\IeC {\cyryo }" "ё" :string)
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(merge-rule "\IeC {\cyryu }" "ю" :string)
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(merge-rule "\IeC {\cyrz }" "з" :string)
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(merge-rule "\IeC {\cyrzh }" "ж" :string)
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;; description: style file for xindy which maps back LaTeX Internal
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;; file) to UTF-8 encoding for correct sorting by xindy.
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;; usage: for use with the pdflatex engine,
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;; *not* for use with xelatex or lualatex.
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;;
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;; The modifications include:
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;; - Updates for compatibility with current LaTeX macro encoding.
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;;
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;; - Systematic usage of the \IeC {...} mark-up, because mark-up in
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;; tex/inputenc/utf8.xdy was using it on seemingly random basis, and
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;; Sphinx coercing of xindy usability for both Latin and Cyrillic scripts
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;;
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;; - Support for some extra letters: Ÿ, Ŋ, ŋ, Œ, œ, IJ, ij, ȷ and ẞ.
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;;
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;;
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;; - U+02DB (˛) and U+02D9 (˙) are also not supported by inputenc
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;; out of the box and require
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;; \DeclareUnicodeCharacter{02DB}{\k{}}
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;; \DeclareUnicodeCharacter{02D9}{\.{}}
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;; to be added to preamble.
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;;
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;; - U+0127 ħ and U+0126 Ħ are absent from TeX T1+TS1 font encodings.
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;;
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;; - Characters Ŋ and ŋ are not supported by TeX font "times" used by
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;; default by Sphinx for pdflatex engine but they are supported by
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;; some TeX fonts, in particular by the default LaTeX font for T1
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;; encoding.
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;;
|
||||
;; - " and ~ must be escaped as ~" and resp. ~~ in xindy merge rules.
|
||||
;;
|
||||
;; Contributed by the Sphinx team, July 2018.
|
||||
;;
|
||||
;; See sphinx.xdy for superior figures, as they are escaped by LaTeX writer.
|
||||
(merge-rule "\IeC {\textonesuperior }" "¹" :string)
|
||||
(merge-rule "\IeC {\texttwosuperior }" "²" :string)
|
||||
(merge-rule "\IeC {\textthreesuperior }" "³" :string)
|
||||
(merge-rule "\IeC {\'a}" "á" :string)
|
||||
(merge-rule "\IeC {\'A}" "Á" :string)
|
||||
(merge-rule "\IeC {\`a}" "à" :string)
|
||||
(merge-rule "\IeC {\`A}" "À" :string)
|
||||
(merge-rule "\IeC {\^a}" "â" :string)
|
||||
(merge-rule "\IeC {\^A}" "Â" :string)
|
||||
(merge-rule "\IeC {\~"a}" "ä" :string)
|
||||
(merge-rule "\IeC {\~"A}" "Ä" :string)
|
||||
(merge-rule "\IeC {\~~a}" "ã" :string)
|
||||
(merge-rule "\IeC {\~~A}" "Ã" :string)
|
||||
(merge-rule "\IeC {\c c}" "ç" :string)
|
||||
(merge-rule "\IeC {\c C}" "Ç" :string)
|
||||
(merge-rule "\IeC {\'c}" "ć" :string)
|
||||
(merge-rule "\IeC {\'C}" "Ć" :string)
|
||||
(merge-rule "\IeC {\^c}" "ĉ" :string)
|
||||
(merge-rule "\IeC {\^C}" "Ĉ" :string)
|
||||
(merge-rule "\IeC {\.c}" "ċ" :string)
|
||||
(merge-rule "\IeC {\.C}" "Ċ" :string)
|
||||
(merge-rule "\IeC {\c s}" "ş" :string)
|
||||
(merge-rule "\IeC {\c S}" "Ş" :string)
|
||||
(merge-rule "\IeC {\c t}" "ţ" :string)
|
||||
(merge-rule "\IeC {\c T}" "Ţ" :string)
|
||||
(merge-rule "\IeC {\-}" "" :string); soft hyphen
|
||||
(merge-rule "\IeC {\textdiv }" "÷" :string)
|
||||
(merge-rule "\IeC {\'e}" "é" :string)
|
||||
(merge-rule "\IeC {\'E}" "É" :string)
|
||||
(merge-rule "\IeC {\`e}" "è" :string)
|
||||
(merge-rule "\IeC {\`E}" "È" :string)
|
||||
(merge-rule "\IeC {\^e}" "ê" :string)
|
||||
(merge-rule "\IeC {\^E}" "Ê" :string)
|
||||
(merge-rule "\IeC {\~"e}" "ë" :string)
|
||||
(merge-rule "\IeC {\~"E}" "Ë" :string)
|
||||
(merge-rule "\IeC {\^g}" "ĝ" :string)
|
||||
(merge-rule "\IeC {\^G}" "Ĝ" :string)
|
||||
(merge-rule "\IeC {\.g}" "ġ" :string)
|
||||
(merge-rule "\IeC {\.G}" "Ġ" :string)
|
||||
(merge-rule "\IeC {\^h}" "ĥ" :string)
|
||||
(merge-rule "\IeC {\^H}" "Ĥ" :string)
|
||||
(merge-rule "\IeC {\H o}" "ő" :string)
|
||||
(merge-rule "\IeC {\H O}" "Ő" :string)
|
||||
(merge-rule "\IeC {\textacutedbl }" "˝" :string)
|
||||
(merge-rule "\IeC {\H u}" "ű" :string)
|
||||
(merge-rule "\IeC {\H U}" "Ű" :string)
|
||||
(merge-rule "\IeC {\ae }" "æ" :string)
|
||||
(merge-rule "\IeC {\AE }" "Æ" :string)
|
||||
(merge-rule "\IeC {\textcopyright }" "©" :string)
|
||||
(merge-rule "\IeC {\c \ }" "¸" :string)
|
||||
(merge-rule "\IeC {\dh }" "ð" :string)
|
||||
(merge-rule "\IeC {\DH }" "Ð" :string)
|
||||
(merge-rule "\IeC {\dj }" "đ" :string)
|
||||
(merge-rule "\IeC {\DJ }" "Đ" :string)
|
||||
(merge-rule "\IeC {\guillemotleft }" "«" :string)
|
||||
(merge-rule "\IeC {\guillemotright }" "»" :string)
|
||||
(merge-rule "\IeC {\'\i }" "í" :string)
|
||||
(merge-rule "\IeC {\`\i }" "ì" :string)
|
||||
(merge-rule "\IeC {\^\i }" "î" :string)
|
||||
(merge-rule "\IeC {\~"\i }" "ï" :string)
|
||||
(merge-rule "\IeC {\i }" "ı" :string)
|
||||
(merge-rule "\IeC {\^\j }" "ĵ" :string)
|
||||
(merge-rule "\IeC {\k {}}" "˛" :string)
|
||||
(merge-rule "\IeC {\l }" "ł" :string)
|
||||
(merge-rule "\IeC {\L }" "Ł" :string)
|
||||
(merge-rule "\IeC {\nobreakspace }" " " :string)
|
||||
(merge-rule "\IeC {\o }" "ø" :string)
|
||||
(merge-rule "\IeC {\O }" "Ø" :string)
|
||||
(merge-rule "\IeC {\textsterling }" "£" :string)
|
||||
(merge-rule "\IeC {\textparagraph }" "¶" :string)
|
||||
(merge-rule "\IeC {\ss }" "ß" :string)
|
||||
(merge-rule "\IeC {\textsection }" "§" :string)
|
||||
(merge-rule "\IeC {\textbrokenbar }" "¦" :string)
|
||||
(merge-rule "\IeC {\textcent }" "¢" :string)
|
||||
(merge-rule "\IeC {\textcurrency }" "¤" :string)
|
||||
(merge-rule "\IeC {\textdegree }" "°" :string)
|
||||
(merge-rule "\IeC {\textexclamdown }" "¡" :string)
|
||||
(merge-rule "\IeC {\texthbar }" "ħ" :string)
|
||||
(merge-rule "\IeC {\textHbar }" "Ħ" :string)
|
||||
(merge-rule "\IeC {\textonehalf }" "½" :string)
|
||||
(merge-rule "\IeC {\textonequarter }" "¼" :string)
|
||||
(merge-rule "\IeC {\textordfeminine }" "ª" :string)
|
||||
(merge-rule "\IeC {\textordmasculine }" "º" :string)
|
||||
(merge-rule "\IeC {\textperiodcentered }" "·" :string)
|
||||
(merge-rule "\IeC {\textquestiondown }" "¿" :string)
|
||||
(merge-rule "\IeC {\textregistered }" "®" :string)
|
||||
(merge-rule "\IeC {\textthreequarters }" "¾" :string)
|
||||
(merge-rule "\IeC {\textyen }" "¥" :string)
|
||||
(merge-rule "\IeC {\th }" "þ" :string)
|
||||
(merge-rule "\IeC {\TH }" "Þ" :string)
|
||||
(merge-rule "\IeC {\'I}" "Í" :string)
|
||||
(merge-rule "\IeC {\`I}" "Ì" :string)
|
||||
(merge-rule "\IeC {\^I}" "Î" :string)
|
||||
(merge-rule "\IeC {\~"I}" "Ï" :string)
|
||||
(merge-rule "\IeC {\.I}" "İ" :string)
|
||||
(merge-rule "\IeC {\^J}" "Ĵ" :string)
|
||||
(merge-rule "\IeC {\k a}" "ą" :string)
|
||||
(merge-rule "\IeC {\k A}" "Ą" :string)
|
||||
(merge-rule "\IeC {\k e}" "ę" :string)
|
||||
(merge-rule "\IeC {\k E}" "Ę" :string)
|
||||
(merge-rule "\IeC {\'l}" "ĺ" :string)
|
||||
(merge-rule "\IeC {\'L}" "Ĺ" :string)
|
||||
(merge-rule "\IeC {\textlnot }" "¬" :string)
|
||||
(merge-rule "\IeC {\textmu }" "µ" :string)
|
||||
(merge-rule "\IeC {\'n}" "ń" :string)
|
||||
(merge-rule "\IeC {\'N}" "Ń" :string)
|
||||
(merge-rule "\IeC {\~~n}" "ñ" :string)
|
||||
(merge-rule "\IeC {\~~N}" "Ñ" :string)
|
||||
(merge-rule "\IeC {\'o}" "ó" :string)
|
||||
(merge-rule "\IeC {\'O}" "Ó" :string)
|
||||
(merge-rule "\IeC {\`o}" "ò" :string)
|
||||
(merge-rule "\IeC {\`O}" "Ò" :string)
|
||||
(merge-rule "\IeC {\^o}" "ô" :string)
|
||||
(merge-rule "\IeC {\^O}" "Ô" :string)
|
||||
(merge-rule "\IeC {\~"o}" "ö" :string)
|
||||
(merge-rule "\IeC {\~"O}" "Ö" :string)
|
||||
(merge-rule "\IeC {\~~o}" "õ" :string)
|
||||
(merge-rule "\IeC {\~~O}" "Õ" :string)
|
||||
(merge-rule "\IeC {\textpm }" "±" :string)
|
||||
(merge-rule "\IeC {\r a}" "å" :string)
|
||||
(merge-rule "\IeC {\r A}" "Å" :string)
|
||||
(merge-rule "\IeC {\'r}" "ŕ" :string)
|
||||
(merge-rule "\IeC {\'R}" "Ŕ" :string)
|
||||
(merge-rule "\IeC {\r u}" "ů" :string)
|
||||
(merge-rule "\IeC {\r U}" "Ů" :string)
|
||||
(merge-rule "\IeC {\'s}" "ś" :string)
|
||||
(merge-rule "\IeC {\'S}" "Ś" :string)
|
||||
(merge-rule "\IeC {\^s}" "ŝ" :string)
|
||||
(merge-rule "\IeC {\^S}" "Ŝ" :string)
|
||||
(merge-rule "\IeC {\textasciidieresis }" "¨" :string)
|
||||
(merge-rule "\IeC {\textasciimacron }" "¯" :string)
|
||||
(merge-rule "\IeC {\.{}}" "˙" :string)
|
||||
(merge-rule "\IeC {\textasciiacute }" "´" :string)
|
||||
(merge-rule "\IeC {\texttimes }" "×" :string)
|
||||
(merge-rule "\IeC {\u a}" "ă" :string)
|
||||
(merge-rule "\IeC {\u A}" "Ă" :string)
|
||||
(merge-rule "\IeC {\u g}" "ğ" :string)
|
||||
(merge-rule "\IeC {\u G}" "Ğ" :string)
|
||||
(merge-rule "\IeC {\textasciibreve }" "˘" :string)
|
||||
(merge-rule "\IeC {\'u}" "ú" :string)
|
||||
(merge-rule "\IeC {\'U}" "Ú" :string)
|
||||
(merge-rule "\IeC {\`u}" "ù" :string)
|
||||
(merge-rule "\IeC {\`U}" "Ù" :string)
|
||||
(merge-rule "\IeC {\^u}" "û" :string)
|
||||
(merge-rule "\IeC {\^U}" "Û" :string)
|
||||
(merge-rule "\IeC {\~"u}" "ü" :string)
|
||||
(merge-rule "\IeC {\~"U}" "Ü" :string)
|
||||
(merge-rule "\IeC {\u u}" "ŭ" :string)
|
||||
(merge-rule "\IeC {\u U}" "Ŭ" :string)
|
||||
(merge-rule "\IeC {\v c}" "č" :string)
|
||||
(merge-rule "\IeC {\v C}" "Č" :string)
|
||||
(merge-rule "\IeC {\v d}" "ď" :string)
|
||||
(merge-rule "\IeC {\v D}" "Ď" :string)
|
||||
(merge-rule "\IeC {\v e}" "ě" :string)
|
||||
(merge-rule "\IeC {\v E}" "Ě" :string)
|
||||
(merge-rule "\IeC {\v l}" "ľ" :string)
|
||||
(merge-rule "\IeC {\v L}" "Ľ" :string)
|
||||
(merge-rule "\IeC {\v n}" "ň" :string)
|
||||
(merge-rule "\IeC {\v N}" "Ň" :string)
|
||||
(merge-rule "\IeC {\v r}" "ř" :string)
|
||||
(merge-rule "\IeC {\v R}" "Ř" :string)
|
||||
(merge-rule "\IeC {\v s}" "š" :string)
|
||||
(merge-rule "\IeC {\v S}" "Š" :string)
|
||||
(merge-rule "\IeC {\textasciicaron }" "ˇ" :string)
|
||||
(merge-rule "\IeC {\v t}" "ť" :string)
|
||||
(merge-rule "\IeC {\v T}" "Ť" :string)
|
||||
(merge-rule "\IeC {\v z}" "ž" :string)
|
||||
(merge-rule "\IeC {\v Z}" "Ž" :string)
|
||||
(merge-rule "\IeC {\'y}" "ý" :string)
|
||||
(merge-rule "\IeC {\'Y}" "Ý" :string)
|
||||
(merge-rule "\IeC {\~"y}" "ÿ" :string)
|
||||
(merge-rule "\IeC {\'z}" "ź" :string)
|
||||
(merge-rule "\IeC {\'Z}" "Ź" :string)
|
||||
(merge-rule "\IeC {\.z}" "ż" :string)
|
||||
(merge-rule "\IeC {\.Z}" "Ż" :string)
|
||||
;; letters not in Latin1, 2, 3 but available in TeX T1 font encoding
|
||||
(merge-rule "\IeC {\~"Y}" "Ÿ" :string)
|
||||
(merge-rule "\IeC {\NG }" "Ŋ" :string)
|
||||
(merge-rule "\IeC {\ng }" "ŋ" :string)
|
||||
(merge-rule "\IeC {\OE }" "Œ" :string)
|
||||
(merge-rule "\IeC {\oe }" "œ" :string)
|
||||
(merge-rule "\IeC {\IJ }" "IJ" :string)
|
||||
(merge-rule "\IeC {\ij }" "ij" :string)
|
||||
(merge-rule "\IeC {\j }" "ȷ" :string)
|
||||
(merge-rule "\IeC {\SS }" "ẞ" :string)
|
||||
@@ -0,0 +1,607 @@
|
||||
;; style file for xindy
|
||||
;; filename: LatinRules.xdy
|
||||
;;
|
||||
;; It is based upon xindy's files lang/general/utf8.xdy and
|
||||
;; lang/general/utf8-lang.xdy which implement
|
||||
;; "a general sorting order for Western European languages"
|
||||
;;
|
||||
;; The aim for Sphinx is to be able to index in a Cyrillic document
|
||||
;; also terms using the Latin alphabets, inclusive of letters
|
||||
;; with diacritics. To this effect the xindy rules from lang/general
|
||||
;; got manually re-coded to avoid collisions with the encoding
|
||||
;; done by xindy for sorting words in Cyrillic languages, which was
|
||||
;; observed not to use bytes with octal encoding 0o266 or higher.
|
||||
;;
|
||||
;; So here we use only 0o266 or higher bytes.
|
||||
;; (Ŋ, ŋ, IJ, and ij are absent from
|
||||
;; lang/general/utf8.xdy and not included here)
|
||||
;; Contributed by the Sphinx team, 2018.
|
||||
|
||||
(define-letter-group "A" :prefixes ("¶"))
|
||||
(define-letter-group "B" :after "A" :prefixes ("·"))
|
||||
(define-letter-group "C" :after "B" :prefixes ("¸"))
|
||||
(define-letter-group "D" :after "C" :prefixes ("¹"))
|
||||
(define-letter-group "E" :after "D" :prefixes ("º"))
|
||||
(define-letter-group "F" :after "E" :prefixes ("»"))
|
||||
(define-letter-group "G" :after "F" :prefixes ("¼"))
|
||||
(define-letter-group "H" :after "G" :prefixes ("½"))
|
||||
(define-letter-group "I" :after "H" :prefixes ("¾"))
|
||||
(define-letter-group "J" :after "I" :prefixes ("¿"))
|
||||
(define-letter-group "K" :after "J" :prefixes ("À"))
|
||||
(define-letter-group "L" :after "K" :prefixes ("Á"))
|
||||
(define-letter-group "M" :after "L" :prefixes ("Â"))
|
||||
(define-letter-group "N" :after "M" :prefixes ("Ã"))
|
||||
(define-letter-group "O" :after "N" :prefixes ("Ä"))
|
||||
(define-letter-group "P" :after "O" :prefixes ("È"))
|
||||
(define-letter-group "Q" :after "P" :prefixes ("Ê"))
|
||||
(define-letter-group "R" :after "Q" :prefixes ("Ë"))
|
||||
(define-letter-group "S" :after "R" :prefixes ("Ð"))
|
||||
(define-letter-group "T" :after "S" :prefixes ("Ú"))
|
||||
(define-letter-group "U" :after "T" :prefixes ("à"))
|
||||
(define-letter-group "V" :after "U" :prefixes ("å"))
|
||||
(define-letter-group "W" :after "V" :prefixes ("æ"))
|
||||
(define-letter-group "X" :after "W" :prefixes ("ë"))
|
||||
(define-letter-group "Y" :after "X" :prefixes ("í"))
|
||||
(define-letter-group "Z" :after "Y" :prefixes ("ð"))
|
||||
|
||||
(define-rule-set "sphinx-xy-alphabetize"
|
||||
|
||||
:rules (("À" "¶" :string)
|
||||
("Ä‚" "¶" :string)
|
||||
("â" "¶" :string)
|
||||
("Ä" "¶" :string)
|
||||
("Ã " "¶" :string)
|
||||
("Ã…" "¶" :string)
|
||||
("Ã" "¶" :string)
|
||||
("Ã�" "¶" :string)
|
||||
("á" "¶" :string)
|
||||
("ã" "¶" :string)
|
||||
("Â" "¶" :string)
|
||||
("ă" "¶" :string)
|
||||
("Ã¥" "¶" :string)
|
||||
("Ä…" "¶" :string)
|
||||
("ä" "¶" :string)
|
||||
("Ä„" "¶" :string)
|
||||
("æ" "¶º" :string)
|
||||
("Æ" "¶º" :string)
|
||||
("ć" "¸" :string)
|
||||
("ĉ" "¸" :string)
|
||||
("ç" "¸" :string)
|
||||
("ÄŒ" "¸" :string)
|
||||
("Ä�" "¸" :string)
|
||||
("Ĉ" "¸" :string)
|
||||
("Ç" "¸" :string)
|
||||
("Ć" "¸" :string)
|
||||
("Ä�" "¹" :string)
|
||||
("Ä�" "¹" :string)
|
||||
("ÄŽ" "¹" :string)
|
||||
("Ä‘" "¹" :string)
|
||||
("ê" "º" :string)
|
||||
("Ę" "º" :string)
|
||||
("Äš" "º" :string)
|
||||
("ë" "º" :string)
|
||||
("Ä›" "º" :string)
|
||||
("é" "º" :string)
|
||||
("È" "º" :string)
|
||||
("Ë" "º" :string)
|
||||
("É" "º" :string)
|
||||
("è" "º" :string)
|
||||
("Ê" "º" :string)
|
||||
("Ä™" "º" :string)
|
||||
("Ä�" "¼" :string)
|
||||
("ÄŸ" "¼" :string)
|
||||
("Äž" "¼" :string)
|
||||
("Äœ" "¼" :string)
|
||||
("Ä¥" "½" :string)
|
||||
("Ĥ" "½" :string)
|
||||
("Ã�" "¾" :string)
|
||||
("Ã�" "¾" :string)
|
||||
("ï" "¾" :string)
|
||||
("ÃŽ" "¾" :string)
|
||||
("î" "¾" :string)
|
||||
("ı" "¾" :string)
|
||||
("Ä°" "¾" :string)
|
||||
("Ã" "¾" :string)
|
||||
("ÃŒ" "¾" :string)
|
||||
("ì" "¾" :string)
|
||||
("Ä´" "¿" :string)
|
||||
("ĵ" "¿" :string)
|
||||
("Å‚" "Á" :string)
|
||||
("Å�" "Á" :string)
|
||||
("ľ" "Á" :string)
|
||||
("Ľ" "Á" :string)
|
||||
("Å„" "Ã" :string)
|
||||
("Ń" "Ã" :string)
|
||||
("ñ" "Ã" :string)
|
||||
("ň" "Ã" :string)
|
||||
("Ñ" "Ã" :string)
|
||||
("Ň" "Ã" :string)
|
||||
("Õ" "Ä" :string)
|
||||
("Å�" "Ä" :string)
|
||||
("ó" "Ä" :string)
|
||||
("ö" "Ä" :string)
|
||||
("ô" "Ä" :string)
|
||||
("Å‘" "Ä" :string)
|
||||
("Ø" "Ä" :string)
|
||||
("Ö" "Ä" :string)
|
||||
("õ" "Ä" :string)
|
||||
("Ô" "Ä" :string)
|
||||
("ø" "Ä" :string)
|
||||
("Ó" "Ä" :string)
|
||||
("Ã’" "Ä" :string)
|
||||
("ò" "Ä" :string)
|
||||
("œ" "ĺ" :string)
|
||||
("Œ" "ĺ" :string)
|
||||
("Ř" "Ë" :string)
|
||||
("Å™" "Ë" :string)
|
||||
("Å”" "Ë" :string)
|
||||
("Å•" "Ë" :string)
|
||||
("Å�" "Ð" :string)
|
||||
("Åš" "Ð" :string)
|
||||
("È™" "Ð" :string)
|
||||
("ÅŸ" "Ð" :string)
|
||||
("Åœ" "Ð" :string)
|
||||
("Å›" "Ð" :string)
|
||||
("Ș" "Ð" :string)
|
||||
("Å¡" "Ð" :string)
|
||||
("Åž" "Ð" :string)
|
||||
("Å " "Ð" :string)
|
||||
("ß" "ÐÐ" :string)
|
||||
("Èš" "Ú" :string)
|
||||
("Ť" "Ú" :string)
|
||||
("È›" "Ú" :string)
|
||||
("Å¥" "Ú" :string)
|
||||
("û" "à" :string)
|
||||
("Å" "à" :string)
|
||||
("ů" "à" :string)
|
||||
("ű" "à" :string)
|
||||
("ù" "à" :string)
|
||||
("Ŭ" "à" :string)
|
||||
("Ù" "à" :string)
|
||||
("Å°" "à" :string)
|
||||
("Ãœ" "à" :string)
|
||||
("Å®" "à" :string)
|
||||
("ú" "à" :string)
|
||||
("Ú" "à" :string)
|
||||
("Û" "à" :string)
|
||||
("ü" "à" :string)
|
||||
("ÿ" "í" :string)
|
||||
("Ã�" "í" :string)
|
||||
("Ÿ" "í" :string)
|
||||
("ý" "í" :string)
|
||||
("Å»" "ð" :string)
|
||||
("Ž" "ð" :string)
|
||||
("Ź" "ð" :string)
|
||||
("ž" "ð" :string)
|
||||
("ż" "ð" :string)
|
||||
("ź" "ð" :string)
|
||||
("a" "¶" :string)
|
||||
("A" "¶" :string)
|
||||
("b" "·" :string)
|
||||
("B" "·" :string)
|
||||
("c" "¸" :string)
|
||||
("C" "¸" :string)
|
||||
("d" "¹" :string)
|
||||
("D" "¹" :string)
|
||||
("e" "º" :string)
|
||||
("E" "º" :string)
|
||||
("F" "»" :string)
|
||||
("f" "»" :string)
|
||||
("G" "¼" :string)
|
||||
("g" "¼" :string)
|
||||
("H" "½" :string)
|
||||
("h" "½" :string)
|
||||
("i" "¾" :string)
|
||||
("I" "¾" :string)
|
||||
("J" "¿" :string)
|
||||
("j" "¿" :string)
|
||||
("K" "À" :string)
|
||||
("k" "À" :string)
|
||||
("L" "Á" :string)
|
||||
("l" "Á" :string)
|
||||
("M" "Â" :string)
|
||||
("m" "Â" :string)
|
||||
("n" "Ã" :string)
|
||||
("N" "Ã" :string)
|
||||
("O" "Ä" :string)
|
||||
("o" "Ä" :string)
|
||||
("p" "È" :string)
|
||||
("P" "È" :string)
|
||||
("Q" "Ê" :string)
|
||||
("q" "Ê" :string)
|
||||
("r" "Ë" :string)
|
||||
("R" "Ë" :string)
|
||||
("S" "Ð" :string)
|
||||
("s" "Ð" :string)
|
||||
("t" "Ú" :string)
|
||||
("T" "Ú" :string)
|
||||
("u" "à" :string)
|
||||
("U" "à" :string)
|
||||
("v" "å" :string)
|
||||
("V" "å" :string)
|
||||
("W" "æ" :string)
|
||||
("w" "æ" :string)
|
||||
("x" "ë" :string)
|
||||
("X" "ë" :string)
|
||||
("Y" "í" :string)
|
||||
("y" "í" :string)
|
||||
("z" "ð" :string)
|
||||
("Z" "ð" :string)
|
||||
))
|
||||
|
||||
(define-rule-set "sphinx-xy-resolve-diacritics"
|
||||
|
||||
:rules (("Ĥ" "£" :string)
|
||||
("ó" "£" :string)
|
||||
("ľ" "£" :string)
|
||||
("Ř" "£" :string)
|
||||
("Ä�" "£" :string)
|
||||
("Ä�" "£" :string)
|
||||
("Äš" "£" :string)
|
||||
("Ä¥" "£" :string)
|
||||
("ÄŒ" "£" :string)
|
||||
("Ä´" "£" :string)
|
||||
("Ä›" "£" :string)
|
||||
("ž" "£" :string)
|
||||
("ÄŽ" "£" :string)
|
||||
("Å™" "£" :string)
|
||||
("Ž" "£" :string)
|
||||
("ı" "£" :string)
|
||||
("Ť" "£" :string)
|
||||
("á" "£" :string)
|
||||
("Ä�" "£" :string)
|
||||
("Ã�" "£" :string)
|
||||
("ň" "£" :string)
|
||||
("Å " "£" :string)
|
||||
("Ň" "£" :string)
|
||||
("ĵ" "£" :string)
|
||||
("Å¥" "£" :string)
|
||||
("Ó" "£" :string)
|
||||
("ý" "£" :string)
|
||||
("Äœ" "£" :string)
|
||||
("Ú" "£" :string)
|
||||
("Ľ" "£" :string)
|
||||
("Å¡" "£" :string)
|
||||
("Ã�" "£" :string)
|
||||
("ú" "£" :string)
|
||||
("Åš" "¤" :string)
|
||||
("ć" "¤" :string)
|
||||
("Å�" "¤" :string)
|
||||
("Å‚" "¤" :string)
|
||||
("Å„" "¤" :string)
|
||||
("À" "¤" :string)
|
||||
("Ź" "¤" :string)
|
||||
("Ã " "¤" :string)
|
||||
("Ń" "¤" :string)
|
||||
("Ä�" "¤" :string)
|
||||
("ÿ" "¤" :string)
|
||||
("Å›" "¤" :string)
|
||||
("Äž" "¤" :string)
|
||||
("ÄŸ" "¤" :string)
|
||||
("Ù" "¤" :string)
|
||||
("Ä°" "¤" :string)
|
||||
("Ä‘" "¤" :string)
|
||||
("ù" "¤" :string)
|
||||
("Èš" "¤" :string)
|
||||
("é" "¤" :string)
|
||||
("Å•" "¤" :string)
|
||||
("Ć" "¤" :string)
|
||||
("È›" "¤" :string)
|
||||
("ò" "¤" :string)
|
||||
("ź" "¤" :string)
|
||||
("Ã’" "¤" :string)
|
||||
("Ÿ" "¤" :string)
|
||||
("Å”" "¤" :string)
|
||||
("É" "¤" :string)
|
||||
("ĉ" "¥" :string)
|
||||
("ô" "¥" :string)
|
||||
("Ã�" "¥" :string)
|
||||
("Å�" "¥" :string)
|
||||
("Å»" "¥" :string)
|
||||
("Ä‚" "¥" :string)
|
||||
("Åœ" "¥" :string)
|
||||
("ñ" "¥" :string)
|
||||
("Å" "¥" :string)
|
||||
("Ã" "¥" :string)
|
||||
("È" "¥" :string)
|
||||
("Ô" "¥" :string)
|
||||
("Ŭ" "¥" :string)
|
||||
("ż" "¥" :string)
|
||||
("Ñ" "¥" :string)
|
||||
("è" "¥" :string)
|
||||
("Ĉ" "¥" :string)
|
||||
("ă" "¥" :string)
|
||||
("â" "¦" :string)
|
||||
("û" "¦" :string)
|
||||
("ê" "¦" :string)
|
||||
("Õ" "¦" :string)
|
||||
("õ" "¦" :string)
|
||||
("È™" "¦" :string)
|
||||
("ç" "¦" :string)
|
||||
("Â" "¦" :string)
|
||||
("Ê" "¦" :string)
|
||||
("Û" "¦" :string)
|
||||
("Ç" "¦" :string)
|
||||
("ì" "¦" :string)
|
||||
("ÃŒ" "¦" :string)
|
||||
("Ș" "¦" :string)
|
||||
("ö" "§" :string)
|
||||
("Ö" "§" :string)
|
||||
("ÅŸ" "§" :string)
|
||||
("ů" "§" :string)
|
||||
("ë" "§" :string)
|
||||
("ã" "§" :string)
|
||||
("î" "§" :string)
|
||||
("ÃŽ" "§" :string)
|
||||
("Ã" "§" :string)
|
||||
("Åž" "§" :string)
|
||||
("Å®" "§" :string)
|
||||
("Ë" "§" :string)
|
||||
("ï" "¨" :string)
|
||||
("Å�" "¨" :string)
|
||||
("Ã�" "¨" :string)
|
||||
("Ę" "¨" :string)
|
||||
("Å‘" "¨" :string)
|
||||
("Ãœ" "¨" :string)
|
||||
("Ã…" "¨" :string)
|
||||
("ü" "¨" :string)
|
||||
("Ä™" "¨" :string)
|
||||
("Ã¥" "¨" :string)
|
||||
("Ä" "©" :string)
|
||||
("ű" "©" :string)
|
||||
("Ø" "©" :string)
|
||||
("ø" "©" :string)
|
||||
("Å°" "©" :string)
|
||||
("ä" "©" :string)
|
||||
("Ä„" "ª" :string)
|
||||
("Ä…" "ª" :string)
|
||||
("Å“" "ÿ" :string)
|
||||
("ß" "ÿ" :string)
|
||||
("Æ" "ÿ" :string)
|
||||
("Å’" "ÿ" :string)
|
||||
("æ" "ÿ" :string)
|
||||
("e" "¢" :string)
|
||||
("t" "¢" :string)
|
||||
("L" "¢" :string)
|
||||
("Y" "¢" :string)
|
||||
("J" "¢" :string)
|
||||
("a" "¢" :string)
|
||||
("p" "¢" :string)
|
||||
("u" "¢" :string)
|
||||
("j" "¢" :string)
|
||||
("b" "¢" :string)
|
||||
("G" "¢" :string)
|
||||
("U" "¢" :string)
|
||||
("F" "¢" :string)
|
||||
("H" "¢" :string)
|
||||
("i" "¢" :string)
|
||||
("z" "¢" :string)
|
||||
("c" "¢" :string)
|
||||
("l" "¢" :string)
|
||||
("A" "¢" :string)
|
||||
("Q" "¢" :string)
|
||||
("w" "¢" :string)
|
||||
("D" "¢" :string)
|
||||
("R" "¢" :string)
|
||||
("d" "¢" :string)
|
||||
("s" "¢" :string)
|
||||
("r" "¢" :string)
|
||||
("k" "¢" :string)
|
||||
("v" "¢" :string)
|
||||
("m" "¢" :string)
|
||||
("P" "¢" :string)
|
||||
("y" "¢" :string)
|
||||
("K" "¢" :string)
|
||||
("q" "¢" :string)
|
||||
("S" "¢" :string)
|
||||
("I" "¢" :string)
|
||||
("C" "¢" :string)
|
||||
("M" "¢" :string)
|
||||
("Z" "¢" :string)
|
||||
("T" "¢" :string)
|
||||
("W" "¢" :string)
|
||||
("B" "¢" :string)
|
||||
("h" "¢" :string)
|
||||
("x" "¢" :string)
|
||||
("X" "¢" :string)
|
||||
("f" "¢" :string)
|
||||
("E" "¢" :string)
|
||||
("V" "¢" :string)
|
||||
("N" "¢" :string)
|
||||
("O" "¢" :string)
|
||||
("o" "¢" :string)
|
||||
("g" "¢" :string)
|
||||
("n" "¢" :string)
|
||||
))
|
||||
|
||||
(define-rule-set "sphinx-xy-resolve-case"
|
||||
|
||||
:rules (("Ú" "8" :string)
|
||||
("Ÿ" "8" :string)
|
||||
("Ç" "8" :string)
|
||||
("Ĉ" "8" :string)
|
||||
("Å”" "8" :string)
|
||||
("Ľ" "8" :string)
|
||||
("Å®" "8" :string)
|
||||
("�" "8" :string)
|
||||
("É" "8" :string)
|
||||
("Ë" "8" :string)
|
||||
("Ș" "8" :string)
|
||||
("Ì" "8" :string)
|
||||
("Ê" "8" :string)
|
||||
("Ň" "8" :string)
|
||||
("Ä„" "8" :string)
|
||||
("Å " "8" :string)
|
||||
("Û" "8" :string)
|
||||
("Åž" "8" :string)
|
||||
("Ć" "8" :string)
|
||||
("Ã’" "8" :string)
|
||||
("Ĝ" "8" :string)
|
||||
("Ñ" "8" :string)
|
||||
("Ó" "8" :string)
|
||||
("ÃŽ" "8" :string)
|
||||
("�" "8" :string)
|
||||
("Ã" "8" :string)
|
||||
("Èš" "8" :string)
|
||||
("Ã…" "8" :string)
|
||||
("Äž" "8" :string)
|
||||
("Ü" "8" :string)
|
||||
("È" "8" :string)
|
||||
("Ô" "8" :string)
|
||||
("Ä°" "8" :string)
|
||||
("Å°" "8" :string)
|
||||
("Ù" "8" :string)
|
||||
("Ŭ" "8" :string)
|
||||
("Â" "8" :string)
|
||||
("Ť" "8" :string)
|
||||
("Ń" "8" :string)
|
||||
("ÄŽ" "8" :string)
|
||||
("Ź" "8" :string)
|
||||
("Ž" "8" :string)
|
||||
("�" "8" :string)
|
||||
("Ŝ" "8" :string)
|
||||
("Č" "8" :string)
|
||||
("Ä´" "8" :string)
|
||||
("Ö" "8" :string)
|
||||
("Ø" "8" :string)
|
||||
("Å»" "8" :string)
|
||||
("�" "8" :string)
|
||||
("Ä‚" "8" :string)
|
||||
("Äš" "8" :string)
|
||||
("�" "8" :string)
|
||||
("Õ" "8" :string)
|
||||
("Ę" "8" :string)
|
||||
("�" "8" :string)
|
||||
("À" "8" :string)
|
||||
("Ĥ" "8" :string)
|
||||
("Ä" "8" :string)
|
||||
("Åš" "8" :string)
|
||||
("Ř" "8" :string)
|
||||
("�" "8" :string)
|
||||
("Å’" "89" :string)
|
||||
("Æ" "89" :string)
|
||||
("ì" "9" :string)
|
||||
("è" "9" :string)
|
||||
("Ä…" "9" :string)
|
||||
("Å¡" "9" :string)
|
||||
("ú" "9" :string)
|
||||
("Ã¥" "9" :string)
|
||||
("ă" "9" :string)
|
||||
("Ä™" "9" :string)
|
||||
("ü" "9" :string)
|
||||
("ź" "9" :string)
|
||||
("ò" "9" :string)
|
||||
("Å¥" "9" :string)
|
||||
("È›" "9" :string)
|
||||
("ĵ" "9" :string)
|
||||
("Å•" "9" :string)
|
||||
("ż" "9" :string)
|
||||
("ä" "9" :string)
|
||||
("ý" "9" :string)
|
||||
("ù" "9" :string)
|
||||
("á" "9" :string)
|
||||
("é" "9" :string)
|
||||
("�" "9" :string)
|
||||
("ň" "9" :string)
|
||||
("Å›" "9" :string)
|
||||
("ø" "9" :string)
|
||||
("Ã" "9" :string)
|
||||
("Ä‘" "9" :string)
|
||||
("ı" "9" :string)
|
||||
("ÄŸ" "9" :string)
|
||||
("î" "9" :string)
|
||||
("ã" "9" :string)
|
||||
("Ã " "9" :string)
|
||||
("Å™" "9" :string)
|
||||
("Å‘" "9" :string)
|
||||
("ů" "9" :string)
|
||||
("È™" "9" :string)
|
||||
("ÿ" "9" :string)
|
||||
("ë" "9" :string)
|
||||
("Å" "9" :string)
|
||||
("ç" "9" :string)
|
||||
("ű" "9" :string)
|
||||
("ñ" "9" :string)
|
||||
("õ" "9" :string)
|
||||
("Ä›" "9" :string)
|
||||
("ÅŸ" "9" :string)
|
||||
("ž" "9" :string)
|
||||
("�" "9" :string)
|
||||
("�" "9" :string)
|
||||
("Å„" "9" :string)
|
||||
("û" "9" :string)
|
||||
("Å‚" "9" :string)
|
||||
("�" "9" :string)
|
||||
("Ä¥" "9" :string)
|
||||
("ê" "9" :string)
|
||||
("ô" "9" :string)
|
||||
("ĉ" "9" :string)
|
||||
("â" "9" :string)
|
||||
("ć" "9" :string)
|
||||
("ï" "9" :string)
|
||||
("ö" "9" :string)
|
||||
("ľ" "9" :string)
|
||||
("ó" "9" :string)
|
||||
("æ" "99" :string)
|
||||
("ß" "99" :string)
|
||||
("Å“" "99" :string)
|
||||
("N" "8" :string)
|
||||
("V" "8" :string)
|
||||
("O" "8" :string)
|
||||
("X" "8" :string)
|
||||
("E" "8" :string)
|
||||
("P" "8" :string)
|
||||
("K" "8" :string)
|
||||
("T" "8" :string)
|
||||
("Z" "8" :string)
|
||||
("M" "8" :string)
|
||||
("C" "8" :string)
|
||||
("I" "8" :string)
|
||||
("S" "8" :string)
|
||||
("B" "8" :string)
|
||||
("W" "8" :string)
|
||||
("D" "8" :string)
|
||||
("R" "8" :string)
|
||||
("H" "8" :string)
|
||||
("F" "8" :string)
|
||||
("Q" "8" :string)
|
||||
("A" "8" :string)
|
||||
("G" "8" :string)
|
||||
("U" "8" :string)
|
||||
("J" "8" :string)
|
||||
("Y" "8" :string)
|
||||
("L" "8" :string)
|
||||
("o" "9" :string)
|
||||
("n" "9" :string)
|
||||
("g" "9" :string)
|
||||
("x" "9" :string)
|
||||
("f" "9" :string)
|
||||
("y" "9" :string)
|
||||
("q" "9" :string)
|
||||
("h" "9" :string)
|
||||
("w" "9" :string)
|
||||
("s" "9" :string)
|
||||
("d" "9" :string)
|
||||
("v" "9" :string)
|
||||
("k" "9" :string)
|
||||
("r" "9" :string)
|
||||
("m" "9" :string)
|
||||
("z" "9" :string)
|
||||
("c" "9" :string)
|
||||
("i" "9" :string)
|
||||
("l" "9" :string)
|
||||
("b" "9" :string)
|
||||
("j" "9" :string)
|
||||
("a" "9" :string)
|
||||
("p" "9" :string)
|
||||
("u" "9" :string)
|
||||
("t" "9" :string)
|
||||
("e" "9" :string)
|
||||
))
|
||||
|
||||
(use-rule-set :run 0
|
||||
:rule-set ("sphinx-xy-alphabetize"))
|
||||
(use-rule-set :run 1
|
||||
:rule-set ("sphinx-xy-resolve-diacritics"))
|
||||
(use-rule-set :run 2
|
||||
:rule-set ("sphinx-xy-resolve-case"))
|
||||
@@ -0,0 +1,64 @@
|
||||
# Makefile for Sphinx LaTeX output
|
||||
|
||||
ALLDOCS = $(basename $(wildcard *.tex))
|
||||
ALLPDF = $(addsuffix .pdf,$(ALLDOCS))
|
||||
ALLDVI = $(addsuffix .dvi,$(ALLDOCS))
|
||||
ALLXDV =
|
||||
ALLPS = $(addsuffix .ps,$(ALLDOCS))
|
||||
|
||||
# Prefix for archive names
|
||||
ARCHIVEPREFIX =
|
||||
# Additional LaTeX options (passed via variables in latexmkrc/latexmkjarc file)
|
||||
export LATEXOPTS ?=
|
||||
# Additional latexmk options
|
||||
LATEXMKOPTS ?=
|
||||
# format: pdf or dvi (used only by archive targets)
|
||||
FMT = pdf
|
||||
|
||||
LATEX = latexmk -dvi
|
||||
PDFLATEX = latexmk -pdf -dvi- -ps-
|
||||
|
||||
|
||||
%.dvi: %.tex FORCE_MAKE
|
||||
$(LATEX) $(LATEXMKOPTS) '$<'
|
||||
|
||||
%.ps: %.dvi
|
||||
dvips '$<'
|
||||
|
||||
%.pdf: %.tex FORCE_MAKE
|
||||
$(PDFLATEX) $(LATEXMKOPTS) '$<'
|
||||
|
||||
all: $(ALLPDF)
|
||||
|
||||
all-dvi: $(ALLDVI)
|
||||
|
||||
all-ps: $(ALLPS)
|
||||
|
||||
all-pdf: $(ALLPDF)
|
||||
|
||||
zip: all-$(FMT)
|
||||
mkdir $(ARCHIVEPREFIX)docs-$(FMT)
|
||||
cp $(ALLPDF) $(ARCHIVEPREFIX)docs-$(FMT)
|
||||
zip -q -r -9 $(ARCHIVEPREFIX)docs-$(FMT).zip $(ARCHIVEPREFIX)docs-$(FMT)
|
||||
rm -r $(ARCHIVEPREFIX)docs-$(FMT)
|
||||
|
||||
tar: all-$(FMT)
|
||||
mkdir $(ARCHIVEPREFIX)docs-$(FMT)
|
||||
cp $(ALLPDF) $(ARCHIVEPREFIX)docs-$(FMT)
|
||||
tar cf $(ARCHIVEPREFIX)docs-$(FMT).tar $(ARCHIVEPREFIX)docs-$(FMT)
|
||||
rm -r $(ARCHIVEPREFIX)docs-$(FMT)
|
||||
|
||||
gz: tar
|
||||
gzip -9 < $(ARCHIVEPREFIX)docs-$(FMT).tar > $(ARCHIVEPREFIX)docs-$(FMT).tar.gz
|
||||
|
||||
bz2: tar
|
||||
bzip2 -9 -k $(ARCHIVEPREFIX)docs-$(FMT).tar
|
||||
|
||||
xz: tar
|
||||
xz -9 -k $(ARCHIVEPREFIX)docs-$(FMT).tar
|
||||
|
||||
clean:
|
||||
rm -f *.log *.ind *.aux *.toc *.syn *.idx *.out *.ilg *.pla *.ps *.tar *.tar.gz *.tar.bz2 *.tar.xz $(ALLPDF) $(ALLDVI) $(ALLXDV) *.fls *.fdb_latexmk
|
||||
|
||||
.PHONY: all all-pdf all-dvi all-ps clean zip tar gz bz2 xz
|
||||
.PHONY: FORCE_MAKE
|
||||
+1
@@ -0,0 +1 @@
|
||||
details.dropdown .summary-title{padding-right:3em !important;-moz-user-select:none;-ms-user-select:none;-webkit-user-select:none;user-select:none}details.dropdown:hover{cursor:pointer}details.dropdown .summary-content{cursor:default}details.dropdown summary{list-style:none;padding:1em}details.dropdown summary .octicon.no-title{vertical-align:middle}details.dropdown[open] summary .octicon.no-title{visibility:hidden}details.dropdown summary::-webkit-details-marker{display:none}details.dropdown summary:focus{outline:none}details.dropdown summary:hover .summary-up svg,details.dropdown summary:hover .summary-down svg{opacity:1}details.dropdown .summary-up svg,details.dropdown .summary-down svg{display:block;opacity:.6}details.dropdown .summary-up,details.dropdown .summary-down{pointer-events:none;position:absolute;right:1em;top:.75em}details.dropdown[open] .summary-down{visibility:hidden}details.dropdown:not([open]) .summary-up{visibility:hidden}details.dropdown.fade-in[open] summary~*{-moz-animation:panels-fade-in .5s ease-in-out;-webkit-animation:panels-fade-in .5s ease-in-out;animation:panels-fade-in .5s ease-in-out}details.dropdown.fade-in-slide-down[open] summary~*{-moz-animation:panels-fade-in .5s ease-in-out, panels-slide-down .5s ease-in-out;-webkit-animation:panels-fade-in .5s ease-in-out, panels-slide-down .5s ease-in-out;animation:panels-fade-in .5s ease-in-out, panels-slide-down .5s ease-in-out}@keyframes panels-fade-in{0%{opacity:0}100%{opacity:1}}@keyframes panels-slide-down{0%{transform:translate(0, -10px)}100%{transform:translate(0, 0)}}.octicon{display:inline-block;fill:currentColor;vertical-align:text-top}.tabbed-content{box-shadow:0 -.0625rem var(--tabs-color-overline),0 .0625rem var(--tabs-color-underline);display:none;order:99;padding-bottom:.75rem;padding-top:.75rem;width:100%}.tabbed-content>:first-child{margin-top:0 !important}.tabbed-content>:last-child{margin-bottom:0 !important}.tabbed-content>.tabbed-set{margin:0}.tabbed-set{border-radius:.125rem;display:flex;flex-wrap:wrap;margin:1em 0;position:relative}.tabbed-set>input{opacity:0;position:absolute}.tabbed-set>input:checked+label{border-color:var(--tabs-color-label-active);color:var(--tabs-color-label-active)}.tabbed-set>input:checked+label+.tabbed-content{display:block}.tabbed-set>input:focus+label{outline-style:auto}.tabbed-set>input:not(.focus-visible)+label{outline:none;-webkit-tap-highlight-color:transparent}.tabbed-set>label{border-bottom:.125rem solid transparent;color:var(--tabs-color-label-inactive);cursor:pointer;font-size:var(--tabs-size-label);font-weight:700;padding:1em 1.25em .5em;transition:color 250ms;width:auto;z-index:1}html .tabbed-set>label:hover{color:var(--tabs-color-label-active)}
|
||||
+7
@@ -0,0 +1,7 @@
|
||||
:root {
|
||||
--tabs-color-label-active: hsla(231, 99%, 66%, 1);
|
||||
--tabs-color-label-inactive: rgba(178, 206, 245, 0.62);
|
||||
--tabs-color-overline: rgb(207, 236, 238);
|
||||
--tabs-color-underline: rgb(207, 236, 238);
|
||||
--tabs-size-label: 1rem;
|
||||
}
|
||||
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Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user