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update week35

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This commit is contained in:
Morten Hjorth-Jensen
2021-09-14 22:57:56 +02:00
parent 1f9e4412cb
commit 697aa73253
9 changed files with 153 additions and 208 deletions
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doc/pub/week35/html/._week35-bs000.html
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@@ -406,7 +406,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Sep 6, 2021</h4></center> <!-- date -->
<center><h4>Sep 14, 2021</h4></center> <!-- date -->
<br>
<p>
doc/pub/week35/html/._week35-bs069.html
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@@ -459,10 +459,6 @@ X[:,<span style="color: #666666">1</span>] <span style="color: #666666">=</span>
X[:,<span style="color: #666666">2</span>] <span style="color: #666666">=</span> x<span style="color: #666666">*</span>x
<span style="color: #408080; font-style: italic"># We split the data in test and training data</span>
X_train, X_test, y_train, y_test <span style="color: #666666">=</span> train_test_split(X, y, test_size<span style="color: #666666">=0.2</span>)
scaler <span style="color: #666666">=</span> StandardScaler()
scaler<span style="color: #666666">.</span>fit(X_train)
X_train_scaled <span style="color: #666666">=</span> scaler<span style="color: #666666">.</span>transform(X_train)
X_test_scaled <span style="color: #666666">=</span> scaler<span style="color: #666666">.</span>transform(X_test)
<span style="color: #408080; font-style: italic"># matrix inversion to find beta</span>
OLSbeta <span style="color: #666666">=</span> np<span style="color: #666666">.</span>linalg<span style="color: #666666">.</span>inv(X_train<span style="color: #666666">.</span>T <span style="color: #666666">@</span> X_train) <span style="color: #666666">@</span> X_train<span style="color: #666666">.</span>T <span style="color: #666666">@</span> y_train
doc/pub/week35/html/week35-bs.html
+1 -1
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@@ -406,7 +406,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Sep 6, 2021</h4></center> <!-- date -->
<center><h4>Sep 14, 2021</h4></center> <!-- date -->
<br>
<p>
doc/pub/week35/html/week35-reveal.html
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@@ -148,7 +148,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>&nbsp;<br>
<center><h4>Sep 6, 2021</h4></center> <!-- date -->
<center><h4>Sep 14, 2021</h4></center> <!-- date -->
<br>
<p>
@@ -3149,10 +3149,6 @@ X[:,<span style="color: #B452CD">1</span>] = x
X[:,<span style="color: #B452CD">2</span>] = x*x
<span style="color: #228B22"># We split the data in test and training data</span>
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=<span style="color: #B452CD">0.2</span>)
scaler = StandardScaler()
scaler.fit(X_train)
X_train_scaled = scaler.transform(X_train)
X_test_scaled = scaler.transform(X_test)
<span style="color: #228B22"># matrix inversion to find beta</span>
OLSbeta = np.linalg.inv(X_train.T @ X_train) @ X_train.T @ y_train
doc/pub/week35/html/week35-solarized.html
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@@ -325,7 +325,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Sep 6, 2021</h4></center> <!-- date -->
<center><h4>Sep 14, 2021</h4></center> <!-- date -->
<br>
<p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -3089,10 +3089,6 @@ X[:,<span style="color: #B452CD">1</span>] = x
X[:,<span style="color: #B452CD">2</span>] = x*x
<span style="color: #228B22"># We split the data in test and training data</span>
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=<span style="color: #B452CD">0.2</span>)
scaler = StandardScaler()
scaler.fit(X_train)
X_train_scaled = scaler.transform(X_train)
X_test_scaled = scaler.transform(X_test)
<span style="color: #228B22"># matrix inversion to find beta</span>
OLSbeta = np.linalg.inv(X_train.T @ X_train) @ X_train.T @ y_train
doc/pub/week35/html/week35.html
+1 -5
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@@ -330,7 +330,7 @@ MathJax.Hub.Config({
<center>[2] <b>Department of Physics and Astronomy and National Superconducting Cyclotron Laboratory, Michigan State University</b></center>
<br>
<p>
<center><h4>Sep 6, 2021</h4></center> <!-- date -->
<center><h4>Sep 14, 2021</h4></center> <!-- date -->
<br>
<p>
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
@@ -3094,10 +3094,6 @@ X[:,<span style="color: #666666">1</span>] <span style="color: #666666">=</span>
X[:,<span style="color: #666666">2</span>] <span style="color: #666666">=</span> x<span style="color: #666666">*</span>x
<span style="color: #408080; font-style: italic"># We split the data in test and training data</span>
X_train, X_test, y_train, y_test <span style="color: #666666">=</span> train_test_split(X, y, test_size<span style="color: #666666">=0.2</span>)
scaler <span style="color: #666666">=</span> StandardScaler()
scaler<span style="color: #666666">.</span>fit(X_train)
X_train_scaled <span style="color: #666666">=</span> scaler<span style="color: #666666">.</span>transform(X_train)
X_test_scaled <span style="color: #666666">=</span> scaler<span style="color: #666666">.</span>transform(X_test)
<span style="color: #408080; font-style: italic"># matrix inversion to find beta</span>
OLSbeta <span style="color: #666666">=</span> np<span style="color: #666666">.</span>linalg<span style="color: #666666">.</span>inv(X_train<span style="color: #666666">.</span>T <span style="color: #666666">@</span> X_train) <span style="color: #666666">@</span> X_train<span style="color: #666666">.</span>T <span style="color: #666666">@</span> y_train