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

update notes

Browse Source
This commit is contained in:
Morten Hjorth-Jensen
2023-09-11 06:41:34 +02:00
parent b7e90afa3a
commit 125231ac1a
130 changed files with 12893 additions and 810 deletions
Download Patch File Download Diff File Expand all files Collapse all files
doc/LectureNotes/_build/html/chapteroptimization.html
+44 -22
View File
@@ -278,6 +278,28 @@ const thebe_selector_output = ".output, .cell_output"
Week 36: Statistical interpretation of Linear Regression and Resampling techniques
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="exercisesweek37.html">
Exercises week 37
</a>
</li>
<li class="toctree-l1">
<a class="reference internal" href="week37.html">
Week 37: Statitsitcal interpretations and Resampling Methods
</a>
</li>
</ul>
<p aria-level="2" class="caption" role="heading">
<span class="caption-text">
Projects
</span>
</p>
<ul class="nav bd-sidenav">
<li class="toctree-l1">
<a class="reference internal" href="project1.html">
Project 1 on Machine Learning, deadline October 9 (midnight), 2023
</a>
</li>
</ul>
</div>
@@ -975,11 +997,11 @@ which equals</p>
</div>
</div>
<div class="cell_output docutils container">
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_16261/483257001.py:18: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().
<div class="output stderr highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>/var/folders/td/3yk470mj5p931p9dtkk0y6jw0000gn/T/ipykernel_7714/483257001.py:18: MatplotlibDeprecationWarning: Calling gca() with keyword arguments was deprecated in Matplotlib 3.4. Starting two minor releases later, gca() will take no keyword arguments. The gca() function should only be used to get the current axes, or if no axes exist, create new axes with default keyword arguments. To create a new axes with non-default arguments, use plt.axes() or plt.subplot().
ax = fig.gca(projection=&quot;3d&quot;)
</pre></div>
</div>
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;mpl_toolkits.mplot3d.art3d.Poly3DCollection at 0x138098070&gt;
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>&lt;mpl_toolkits.mplot3d.art3d.Poly3DCollection at 0x11e77b070&gt;
</pre></div>
</div>
<img alt="_images/chapteroptimization_61_2.png" src="_images/chapteroptimization_61_2.png" />
@@ -1037,7 +1059,7 @@ which equals</p>
</div>
</div>
<div class="cell_output docutils container">
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x1387541c0&gt;]
<div class="output text_plain highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[&lt;matplotlib.lines.Line2D at 0x11ecf9850&gt;]
</pre></div>
</div>
<img alt="_images/chapteroptimization_69_1.png" src="_images/chapteroptimization_69_1.png" />
@@ -1294,11 +1316,11 @@ when <span class="math notranslate nohighlight">\(||\nabla_\beta C(\beta_k) || \
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[0.28836053 4.52113415]
[[4.19528375]
[2.90383424]]
[[4.19528375]
[2.90383424]]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[0.33196524 4.36593124]
[[4.09963157]
[2.99760425]]
[[4.09963157]
[2.99760425]]
</pre></div>
</div>
<img alt="_images/chapteroptimization_123_1.png" src="_images/chapteroptimization_123_1.png" />
@@ -1327,9 +1349,9 @@ when <span class="math notranslate nohighlight">\(||\nabla_\beta C(\beta_k) || \
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[4.16575256]
[2.8620652 ]]
[4.11520281] [2.85097049]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[4.21639245]
[2.82985482]]
[4.15172236] [2.79589065]
</pre></div>
</div>
</div>
@@ -1400,10 +1422,10 @@ C_{\text{ridge}}(\beta) = \frac{1}{n}||X\beta -\mathbf{y}||^2 + \lambda ||\beta|
</div>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[4.20793824]
[2.75460639]]
[[4.106971 ]
[2.83724637]]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[[3.98919197]
[2.94015598]]
[[3.94925462]
[2.97087408]]
</pre></div>
</div>
<img alt="_images/chapteroptimization_132_1.png" src="_images/chapteroptimization_132_1.png" />
@@ -1653,15 +1675,15 @@ function.</p>
</div>
<div class="cell_output docutils container">
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>Own inversion
[[4.31347523]
[2.69915639]]
Eigenvalues of Hessian Matrix:[0.28457442 4.43693489]
[[4.5424657 ]
[2.40026896]]
Eigenvalues of Hessian Matrix:[0.29830651 3.89658408]
theta from own gd
[[4.31347523]
[2.69915639]]
[[4.5424657 ]
[2.40026896]]
theta from own sdg
[[4.2891298 ]
[2.67783138]]
[[4.55687658]
[2.41165766]]
</pre></div>
</div>
<img alt="_images/chapteroptimization_148_1.png" src="_images/chapteroptimization_148_1.png" />