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small typos again

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mhjensen
2018-11-09 06:30:52 +01:00
parent 179d29eecb
commit d26bffa79d
8 changed files with 0 additions and 85 deletions
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doc/pub/DecisionTrees/html/._DecisionTrees-bs015.html
-16
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@@ -152,22 +152,6 @@ MathJax.Hub.Config({
<!-- !split -->
<h2 id="___sec14" class="anchor">Playing around with regions </h2>
<p>
<!-- code=python (!bc pycod) typeset with pygments style "default" -->
<div class="highlight" style="background: #f8f8f8"><pre style="line-height: 125%"><span></span>angle <span style="color: #666666">=</span> np<span style="color: #666666">.</span>pi <span style="color: #666666">/</span> <span style="color: #666666">180</span> <span style="color: #666666">*</span> <span style="color: #666666">20</span>
rotation_matrix <span style="color: #666666">=</span> np<span style="color: #666666">.</span>array([[np<span style="color: #666666">.</span>cos(angle), <span style="color: #666666">-</span>np<span style="color: #666666">.</span>sin(angle)], [np<span style="color: #666666">.</span>sin(angle), np<span style="color: #666666">.</span>cos(angle)]])
Xr <span style="color: #666666">=</span> X<span style="color: #666666">.</span>dot(rotation_matrix)
tree_clf_r <span style="color: #666666">=</span> DecisionTreeClassifier(random_state<span style="color: #666666">=42</span>)
tree_clf_r<span style="color: #666666">.</span>fit(Xr, y)
plt<span style="color: #666666">.</span>figure(figsize<span style="color: #666666">=</span>(<span style="color: #666666">8</span>, <span style="color: #666666">3</span>))
plot_decision_boundary(tree_clf_r, Xr, y, axes<span style="color: #666666">=</span>[<span style="color: #666666">0.5</span>, <span style="color: #666666">7.5</span>, <span style="color: #666666">-1.0</span>, <span style="color: #666666">1</span>], iris<span style="color: #666666">=</span><span style="color: #008000">False</span>)
plt<span style="color: #666666">.</span>show()
</pre></div>
<p>
<!-- code=python (!bc pycod) typeset with pygments style "default" -->
doc/pub/DecisionTrees/html/._DecisionTrees-bs017.html
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@@ -224,7 +224,6 @@ plt<span style="color: #666666">.</span>axis([<span style="color: #666666">0</sp
plt<span style="color: #666666">.</span>xlabel(<span style="color: #BA2121">&quot;$x_1$&quot;</span>, fontsize<span style="color: #666666">=18</span>)
plt<span style="color: #666666">.</span>title(<span style="color: #BA2121">&quot;min_samples_leaf={}&quot;</span><span style="color: #666666">.</span>format(tree_reg2<span style="color: #666666">.</span>min_samples_leaf), fontsize<span style="color: #666666">=14</span>)
save_fig(<span style="color: #BA2121">&quot;tree_regression_regularization_plot&quot;</span>)
plt<span style="color: #666666">.</span>show()
</pre></div>
<p>
doc/pub/DecisionTrees/html/DecisionTrees-reveal.html
-17
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@@ -727,22 +727,6 @@ plt.show()
<section>
<h2 id="___sec14">Playing around with regions </h2>
<p>
<!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->
<div class="highlight" style="background: #eeeedd"><pre style="font-size: 80%; line-height: 125%"><span></span>angle = np.pi / <span style="color: #B452CD">180</span> * <span style="color: #B452CD">20</span>
rotation_matrix = np.array([[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]])
Xr = X.dot(rotation_matrix)
tree_clf_r = DecisionTreeClassifier(random_state=<span style="color: #B452CD">42</span>)
tree_clf_r.fit(Xr, y)
plt.figure(figsize=(<span style="color: #B452CD">8</span>, <span style="color: #B452CD">3</span>))
plot_decision_boundary(tree_clf_r, Xr, y, axes=[<span style="color: #B452CD">0.5</span>, <span style="color: #B452CD">7.5</span>, -<span style="color: #B452CD">1.0</span>, <span style="color: #B452CD">1</span>], iris=<span style="color: #658b00">False</span>)
plt.show()
</pre></div>
<p>
<!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->
@@ -867,7 +851,6 @@ plt.axis([<span style="color: #B452CD">0</span>, <span style="color: #B452CD">1<
plt.xlabel(<span style="color: #CD5555">&quot;$x_1$&quot;</span>, fontsize=<span style="color: #B452CD">18</span>)
plt.title(<span style="color: #CD5555">&quot;min_samples_leaf={}&quot;</span>.format(tree_reg2.min_samples_leaf), fontsize=<span style="color: #B452CD">14</span>)
save_fig(<span style="color: #CD5555">&quot;tree_regression_regularization_plot&quot;</span>)
plt.show()
</pre></div>
</section>
doc/pub/DecisionTrees/html/DecisionTrees-solarized.html
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@@ -693,22 +693,6 @@ plt.show()
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
<h2 id="___sec14">Playing around with regions </h2>
<p>
<!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->
<div class="highlight" style="background: #eeeedd"><pre style="line-height: 125%"><span></span>angle = np.pi / <span style="color: #B452CD">180</span> * <span style="color: #B452CD">20</span>
rotation_matrix = np.array([[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]])
Xr = X.dot(rotation_matrix)
tree_clf_r = DecisionTreeClassifier(random_state=<span style="color: #B452CD">42</span>)
tree_clf_r.fit(Xr, y)
plt.figure(figsize=(<span style="color: #B452CD">8</span>, <span style="color: #B452CD">3</span>))
plot_decision_boundary(tree_clf_r, Xr, y, axes=[<span style="color: #B452CD">0.5</span>, <span style="color: #B452CD">7.5</span>, -<span style="color: #B452CD">1.0</span>, <span style="color: #B452CD">1</span>], iris=<span style="color: #658b00">False</span>)
plt.show()
</pre></div>
<p>
<!-- code=python (!bc pycod) typeset with pygments style "perldoc" -->
@@ -831,7 +815,6 @@ plt.axis([<span style="color: #B452CD">0</span>, <span style="color: #B452CD">1<
plt.xlabel(<span style="color: #CD5555">&quot;$x_1$&quot;</span>, fontsize=<span style="color: #B452CD">18</span>)
plt.title(<span style="color: #CD5555">&quot;min_samples_leaf={}&quot;</span>.format(tree_reg2.min_samples_leaf), fontsize=<span style="color: #B452CD">14</span>)
save_fig(<span style="color: #CD5555">&quot;tree_regression_regularization_plot&quot;</span>)
plt.show()
</pre></div>
<p>
doc/pub/DecisionTrees/html/DecisionTrees.html
-17
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@@ -698,22 +698,6 @@ plt<span style="color: #666666">.</span>show()
<!-- !split --><br><br><br><br><br><br><br><br><br><br>
<h2 id="___sec14">Playing around with regions </h2>
<p>
<!-- code=python (!bc pycod) typeset with pygments style "default" -->
<div class="highlight" style="background: #f8f8f8"><pre style="line-height: 125%"><span></span>angle <span style="color: #666666">=</span> np<span style="color: #666666">.</span>pi <span style="color: #666666">/</span> <span style="color: #666666">180</span> <span style="color: #666666">*</span> <span style="color: #666666">20</span>
rotation_matrix <span style="color: #666666">=</span> np<span style="color: #666666">.</span>array([[np<span style="color: #666666">.</span>cos(angle), <span style="color: #666666">-</span>np<span style="color: #666666">.</span>sin(angle)], [np<span style="color: #666666">.</span>sin(angle), np<span style="color: #666666">.</span>cos(angle)]])
Xr <span style="color: #666666">=</span> X<span style="color: #666666">.</span>dot(rotation_matrix)
tree_clf_r <span style="color: #666666">=</span> DecisionTreeClassifier(random_state<span style="color: #666666">=42</span>)
tree_clf_r<span style="color: #666666">.</span>fit(Xr, y)
plt<span style="color: #666666">.</span>figure(figsize<span style="color: #666666">=</span>(<span style="color: #666666">8</span>, <span style="color: #666666">3</span>))
plot_decision_boundary(tree_clf_r, Xr, y, axes<span style="color: #666666">=</span>[<span style="color: #666666">0.5</span>, <span style="color: #666666">7.5</span>, <span style="color: #666666">-1.0</span>, <span style="color: #666666">1</span>], iris<span style="color: #666666">=</span><span style="color: #008000">False</span>)
plt<span style="color: #666666">.</span>show()
</pre></div>
<p>
<!-- code=python (!bc pycod) typeset with pygments style "default" -->
@@ -836,7 +820,6 @@ plt<span style="color: #666666">.</span>axis([<span style="color: #666666">0</sp
plt<span style="color: #666666">.</span>xlabel(<span style="color: #BA2121">&quot;$x_1$&quot;</span>, fontsize<span style="color: #666666">=18</span>)
plt<span style="color: #666666">.</span>title(<span style="color: #BA2121">&quot;min_samples_leaf={}&quot;</span><span style="color: #666666">.</span>format(tree_reg2<span style="color: #666666">.</span>min_samples_leaf), fontsize<span style="color: #666666">=14</span>)
save_fig(<span style="color: #BA2121">&quot;tree_regression_regularization_plot&quot;</span>)
plt<span style="color: #666666">.</span>show()
</pre></div>
<p>
doc/pub/DecisionTrees/ipynb/ipynb-DecisionTrees-src.tar.gz
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doc/pub/DecisionTrees/pdf/DecisionTrees-minted.pdf
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doc/src/DecisionTrees/DecisionTrees.do.txt
-17
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@@ -509,22 +509,6 @@ plt.show()
!split
===== Playing around with regions =====
!bc pycod
angle = np.pi / 180 * 20
rotation_matrix = np.array([[np.cos(angle), -np.sin(angle)], [np.sin(angle), np.cos(angle)]])
Xr = X.dot(rotation_matrix)
tree_clf_r = DecisionTreeClassifier(random_state=42)
tree_clf_r.fit(Xr, y)
plt.figure(figsize=(8, 3))
plot_decision_boundary(tree_clf_r, Xr, y, axes=[0.5, 7.5, -1.0, 1], iris=False)
plt.show()
!ec
!bc pycod
np.random.seed(6)
Xs = np.random.rand(100, 2) - 0.5
@@ -637,7 +621,6 @@ plt.axis([0, 1, -0.2, 1.1])
plt.xlabel("$x_1$", fontsize=18)
plt.title("min_samples_leaf={}".format(tree_reg2.min_samples_leaf), fontsize=14)
save_fig("tree_regression_regularization_plot")
plt.show()
!ec