lars/FYS-STK4155
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

update on jupyter-book

Browse Source
This commit is contained in:
Morten Hjorth-Jensen
2024-09-17 14:17:00 +02:00
parent 999bca6d69
commit 8afe465b5f
95 changed files with 2624 additions and 1515 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/LectureNotes/_build/html/linalg.html
+34 -39
View File
@@ -293,6 +293,11 @@ const thebe_selector_output = ".output, .cell_output"
Exercises week 38
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="week38.html">
Week 38: Logistic Regression and Optimization
</a>
</li>
</ul>
<p aria-level="2" class="caption" role="heading">
<span class="caption-text">
@@ -608,8 +613,8 @@ matrices and vectors.</p>
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ 0.93937564 0.92308867 0.34427423 -1.37685349 2.80413696 0.25555619
1.121292 -0.42392359 -0.13913033 -0.7228852 ]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[-0.29015871 0.69417174 -1.07998756 0.34332677 0.19547923 -1.09755017
0.86197958 -0.15546887 0.14369927 1.96251859]
</pre></div>
</div>
</div>
@@ -830,36 +835,26 @@ as (recall that we user lowercase letters for vectors and uppercase letters for
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[7.39090680e-02 6.22755839e-01 6.49123502e-01 2.88135577e-01
8.94704941e-01 3.03201179e-01 3.18840034e-01 8.41366128e-01
8.95033155e-01 5.99812668e-01]
[9.16312434e-01 9.43984553e-02 9.29253213e-01 5.26464303e-01
2.21390371e-01 1.24224776e-01 6.89710385e-01 4.27861634e-01
7.43779698e-03 8.17834506e-01]
[1.51914183e-01 5.02447063e-01 5.99647992e-01 8.36235052e-01
8.14046224e-01 1.06662069e-01 2.91416944e-01 5.89463761e-01
7.07712197e-01 4.57819238e-01]
[6.21192602e-01 1.27597777e-01 9.92527681e-01 3.95743466e-01
2.66757105e-01 7.72309979e-01 1.18019623e-01 9.40415979e-03
9.27352535e-01 9.26378176e-02]
[3.52989287e-02 1.01080465e-01 7.27602210e-01 4.01826811e-01
2.33826500e-01 8.47478922e-01 4.73646130e-01 4.59491404e-01
1.56857739e-01 8.65889641e-01]
[1.29100624e-01 1.30387411e-01 2.49156266e-01 1.86123808e-01
3.06942115e-01 7.77873845e-01 6.61979664e-01 7.08699295e-01
4.47297587e-02 5.88738394e-01]
[5.17405911e-01 9.84789579e-01 7.30334592e-01 5.61602014e-01
9.95053694e-01 5.73305640e-01 9.36545697e-01 5.29033075e-01
1.00989834e-04 6.96379806e-01]
[8.23093598e-01 9.99201684e-01 9.42197297e-01 8.48268005e-01
1.65900052e-01 2.60605083e-01 3.83884553e-01 5.91410559e-02
6.89766337e-01 7.91434750e-01]
[6.39621036e-03 4.53512750e-01 2.85259666e-01 6.82623709e-01
4.62905281e-01 9.88236598e-01 6.74272285e-02 5.17547294e-01
5.67238764e-01 5.67819487e-01]
[5.16172219e-01 1.42083463e-01 2.01779091e-01 8.29541992e-02
8.23994188e-01 1.28183460e-01 4.64564368e-01 4.61106937e-01
7.93891335e-01 6.25458506e-01]]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[0.08233627 0.43727575 0.01759442 0.01179415 0.34483937 0.32733949
0.71332117 0.20347912 0.57521514 0.56042437]
[0.64909048 0.55179339 0.13847167 0.04224929 0.89540936 0.5142856
0.85871255 0.75080943 0.34026086 0.50850373]
[0.03239393 0.87884833 0.41310208 0.82418008 0.01014331 0.24284399
0.93668828 0.79247398 0.48062913 0.77803692]
[0.73068535 0.47910545 0.95715036 0.11844773 0.76686148 0.31453949
0.6029291 0.5443909 0.29398019 0.96585824]
[0.0179826 0.51643579 0.53723188 0.03844073 0.25989189 0.20834188
0.98619989 0.40833375 0.52876551 0.76612827]
[0.44830934 0.94099173 0.07123177 0.96305058 0.11596834 0.69756791
0.60664448 0.89457785 0.86016288 0.33615742]
[0.35243372 0.77465911 0.37532078 0.38399622 0.20728198 0.1108407
0.83020679 0.48170743 0.99003341 0.99956033]
[0.82832579 0.42553096 0.02355756 0.28542801 0.96894842 0.70711022
0.8825782 0.04072235 0.24369936 0.79622905]
[0.60762863 0.21699817 0.20218457 0.63071772 0.02358547 0.62886648
0.44286735 0.78745927 0.30982436 0.76277254]
[0.52173381 0.9495484 0.47433659 0.73203674 0.95226607 0.40072098
0.35098705 0.46544987 0.66456459 0.25512598]]
</pre></div>
</div>
</div>
@@ -919,13 +914,13 @@ 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>0.2160073466353432
4.720889407643293
1.0362483569261072
[[ 1.17260271 3.60999067 4.15283463]
[ 3.60999067 12.23423987 13.18824338]
[ 4.15283463 13.18824338 21.31571995]]
[31.70587399 0.09156055 2.92512799]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>-0.0018310257999764163
4.092608577084595
0.31555734196707536
[[ 0.78671736 2.38337498 2.04657426]
[ 2.38337498 8.33235647 6.05002471]
[ 2.04657426 6.05002471 10.13152828]]
[15.98413606 0.08227668 3.18418938]
</pre></div>
</div>
</div>