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Morten Hjorth-Jensen
2023-08-31 15:08:40 +02:00
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commit 55b189481a
15 changed files with 1806 additions and 1782 deletions
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doc/LectureNotes/_build/.doctrees/environment.pickle
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@@ -1132,6 +1132,8 @@ doconce format html week35.do.txt --no_mako -->
<li><p>Discussion on how to prepare data and examples of applications of linear regression</p></li>
<li><p>Material for the lecture on Thursday: Mathematical interpretations of linear regression</p></li>
<li><p>Thursday: Ridge and Lasso regression and Singular Value Decomposition</p></li>
<li><p><a class="reference external" href="https://youtu.be/qBNm-HGSxL4">Video of lecture</a></p></li>
<li><p><a class="reference external" href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesAug31.pdf">Whiteboard notes</a></p></li>
</ol>
<div class="section" id="reading-recommendations">
<h3>Reading recommendations:<a class="headerlink" href="#reading-recommendations" title="Permalink to this headline"></a></h3>
@@ -1611,7 +1613,7 @@ Since we are not using <strong>Scikit-Learn</strong> here we can define our own
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.99541140030306
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.9949347794612255
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@@ -1628,7 +1630,7 @@ Since we are not using <strong>Scikit-Learn</strong> here we can define our own
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.009710035292693498
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>0.01028995427580139
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@@ -1643,31 +1645,31 @@ Since we are not using <strong>Scikit-Learn</strong> here we can define our own
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[3.79190435e-03 8.55070893e-03 3.86058560e-02 3.45643708e-02
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1.74592114e-02 1.33939645e-03 2.27552531e-02 2.28284417e-02
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4.11276576e-02 3.72904541e-02 2.13618516e-02 1.98880065e-02
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6.56447742e-03 2.50173752e-02 3.42790075e-02 1.52902847e-02
4.92169784e-02 3.50733669e-02 8.97665553e-03 4.56542321e-02
3.57807896e-02 4.65359027e-03 1.02430520e-02 1.09480900e-03
2.99948754e-02 1.60056803e-02 9.14266332e-02 2.21171751e-02
2.21266166e-02 2.39548035e-02 1.67236038e-02 2.92337385e-02
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3.20098424e-02 6.45146007e-03 3.82092612e-03 2.25724702e-02]
<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[3.27961873e-03 1.75320666e-02 3.97840267e-02 1.41369795e-02
1.12890007e-02 3.55765644e-02 1.34914442e-03 9.92463154e-03
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2.43113284e-03 2.65643756e-02 1.40768645e-01 4.45840226e-03
1.23365145e-02 3.49001938e-02 3.65693278e-02 2.08966600e-02
1.45112450e-02 1.27524966e-02 7.26193455e-02 3.00129543e-02
5.95594445e-03 1.06826023e-02 1.32609560e-02 1.42729886e-02
2.87131961e-02 6.39892216e-02 4.19650622e-02 2.78272242e-02
1.19023414e-02 2.32474290e-02 5.36904006e-02 7.48259891e-03
2.74997869e-02 3.08549564e-02 4.12211324e-02 1.06229862e-02
4.41816468e-02 5.87890188e-04 4.41486312e-02 1.41083418e-02
5.35759569e-03 2.89869600e-02 2.20517254e-02 2.65534935e-02
1.04481443e-02 2.47355725e-02 1.00634741e-02 2.73185363e-02
1.13375152e-02 4.40236659e-02 1.20669787e-02 7.63258368e-02
1.13208672e-04 1.15746031e-02 9.91094169e-03 4.09789363e-02
5.98604688e-02 1.47082726e-02 1.54957609e-02 3.71921767e-02
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@@ -1736,15 +1738,15 @@ but now splitting the data into a training set and a test set.</p>
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<div class="output stream highlight-myst-ansi notranslate"><div class="highlight"><pre><span></span>[ 1.96667129 1.00622755 0.25455904 7.36570403 -3.55965719]
Training R2
0.9966080206050006
0.9967912002709148
Training MSE
0.008334493024006613
0.007098683295819775
Test R2
0.9954205504035075
0.9957763445154583
Test MSE
0.012501013881387798
0.008754614401844201
</pre></div>
</div>
</div>
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# 4. Material for the lecture on Thursday: Mathematical interpretations of linear regression
#
# 5. Thursday: Ridge and Lasso regression and Singular Value Decomposition
#
# 6. [Video of lecture](https://youtu.be/qBNm-HGSxL4)
#
# 7. [Whiteboard notes](https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesAug31.pdf)
# ### Reading recommendations:
#
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<li> Material for the lecture on Thursday: Mathematical interpretations of linear regression</li>
<li> Thursday: Ridge and Lasso regression and Singular Value Decomposition</li>
<li> <a href="https://youtu.be/qBNm-HGSxL4" target="_self">Video of lecture</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesAug31.pdf" target="_self">Whiteboard notes</a></li>
</ol>
<h3 id="reading-recommendations" class="anchor">Reading recommendations: </h3>
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<p><li> Material for the lecture on Thursday: Mathematical interpretations of linear regression</li>
<p><li> Thursday: Ridge and Lasso regression and Singular Value Decomposition</li>
<p><li> <a href="https://youtu.be/qBNm-HGSxL4" target="_blank">Video of lecture</a></li>
<p><li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesAug31.pdf" target="_blank">Whiteboard notes</a></li>
</ol>
<p>
<h3 id="reading-recommendations">Reading recommendations: </h3>
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<li> Material for the lecture on Thursday: Mathematical interpretations of linear regression</li>
<li> Thursday: Ridge and Lasso regression and Singular Value Decomposition</li>
<li> <a href="https://youtu.be/qBNm-HGSxL4" target="_blank">Video of lecture</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesAug31.pdf" target="_blank">Whiteboard notes</a></li>
</ol>
<h3 id="reading-recommendations">Reading recommendations: </h3>
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<li> Material for the lecture on Thursday: Mathematical interpretations of linear regression</li>
<li> Thursday: Ridge and Lasso regression and Singular Value Decomposition</li>
<li> <a href="https://youtu.be/qBNm-HGSxL4" target="_blank">Video of lecture</a></li>
<li> <a href="https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesAug31.pdf" target="_blank">Whiteboard notes</a></li>
</ol>
<h3 id="reading-recommendations">Reading recommendations: </h3>
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@@ -14,7 +14,7 @@ o Discussion on how to prepare data and examples of applications of linear regre
o Material for the lecture on Thursday: Mathematical interpretations of linear regression
o Thursday: Ridge and Lasso regression and Singular Value Decomposition
o "Video of lecture":"https://youtu.be/qBNm-HGSxL4"
o "Whiteboard notes":"https://github.com/CompPhysics/MachineLearning/blob/master/doc/HandWrittenNotes/2023/NotesAug31.pdf"
=== Reading recommendations: ===