update

Author: mhjensen

doc/pub/week39/html/week39-reveal.html

@@ -808,7 +808,7 @@ <h2 id="code-example-for-cross-validation-and-k-fold-cross-validation">Code Exam
 plt.figure()
 
 plt.plot(np.log10(lambdas), estimated_mse_sklearn, label = <span style="color: #CD5555">&#39;cross_val_score&#39;</span>)
-plt.plot(np.log10(lambdas), estimated_mse_KFold, <span style="color: #CD5555">&#39;r--&#39;</span>, label = <span style="color: #CD5555">&#39;KFold&#39;</span>)
+<span style="color: #228B22">#plt.plot(np.log10(lambdas), estimated_mse_KFold, &#39;r--&#39;, label = &#39;KFold&#39;)</span>
 
 plt.xlabel(<span style="color: #CD5555">&#39;log10(lambda)&#39;</span>)
 plt.ylabel(<span style="color: #CD5555">&#39;mse&#39;</span>)
@@ -1192,7 +1192,6 @@ <h2 id="simple-example">Simple example </h2>
 <span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">sklearn.metrics</span> <span style="color: #8B008B; font-weight: bold">import</span> mean_squared_error
 <span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">IPython.display</span> <span style="color: #8B008B; font-weight: bold">import</span> display
 <span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">pylab</span> <span style="color: #8B008B; font-weight: bold">import</span> plt, mpl
-plt.style.use(<span style="color: #CD5555">&#39;seaborn&#39;</span>)
 mpl.rcParams[<span style="color: #CD5555">&#39;font.family&#39;</span>] = <span style="color: #CD5555">&#39;serif&#39;</span>
 
 <span style="color: #228B22"># Where to save the figures and data files</span>

doc/pub/week39/html/week39-solarized.html

@@ -816,7 +816,7 @@ <h2 id="code-example-for-cross-validation-and-k-fold-cross-validation">Code Exam
 plt.figure()
 
 plt.plot(np.log10(lambdas), estimated_mse_sklearn, label = <span style="color: #CD5555">&#39;cross_val_score&#39;</span>)
-plt.plot(np.log10(lambdas), estimated_mse_KFold, <span style="color: #CD5555">&#39;r--&#39;</span>, label = <span style="color: #CD5555">&#39;KFold&#39;</span>)
+<span style="color: #228B22">#plt.plot(np.log10(lambdas), estimated_mse_KFold, &#39;r--&#39;, label = &#39;KFold&#39;)</span>
 
 plt.xlabel(<span style="color: #CD5555">&#39;log10(lambda)&#39;</span>)
 plt.ylabel(<span style="color: #CD5555">&#39;mse&#39;</span>)
@@ -1190,7 +1190,6 @@ <h2 id="simple-example">Simple example </h2>
 <span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">sklearn.metrics</span> <span style="color: #8B008B; font-weight: bold">import</span> mean_squared_error
 <span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">IPython.display</span> <span style="color: #8B008B; font-weight: bold">import</span> display
 <span style="color: #8B008B; font-weight: bold">from</span> <span style="color: #008b45; text-decoration: underline">pylab</span> <span style="color: #8B008B; font-weight: bold">import</span> plt, mpl
-plt.style.use(<span style="color: #CD5555">&#39;seaborn&#39;</span>)
 mpl.rcParams[<span style="color: #CD5555">&#39;font.family&#39;</span>] = <span style="color: #CD5555">&#39;serif&#39;</span>
 
 <span style="color: #228B22"># Where to save the figures and data files</span>

doc/pub/week39/html/week39.html

@@ -893,7 +893,7 @@ <h2 id="code-example-for-cross-validation-and-k-fold-cross-validation">Code Exam
 plt<span style="color: #666666">.</span>figure()
 
 plt<span style="color: #666666">.</span>plot(np<span style="color: #666666">.</span>log10(lambdas), estimated_mse_sklearn, label <span style="color: #666666">=</span> <span style="color: #BA2121">&#39;cross_val_score&#39;</span>)
-plt<span style="color: #666666">.</span>plot(np<span style="color: #666666">.</span>log10(lambdas), estimated_mse_KFold, <span style="color: #BA2121">&#39;r--&#39;</span>, label <span style="color: #666666">=</span> <span style="color: #BA2121">&#39;KFold&#39;</span>)
+<span style="color: #408080; font-style: italic">#plt.plot(np.log10(lambdas), estimated_mse_KFold, &#39;r--&#39;, label = &#39;KFold&#39;)</span>
 
 plt<span style="color: #666666">.</span>xlabel(<span style="color: #BA2121">&#39;log10(lambda)&#39;</span>)
 plt<span style="color: #666666">.</span>ylabel(<span style="color: #BA2121">&#39;mse&#39;</span>)
@@ -1267,7 +1267,6 @@ <h2 id="simple-example">Simple example </h2>
 <span style="color: #008000; font-weight: bold">from</span> <span style="color: #0000FF; font-weight: bold">sklearn.metrics</span> <span style="color: #008000; font-weight: bold">import</span> mean_squared_error
 <span style="color: #008000; font-weight: bold">from</span> <span style="color: #0000FF; font-weight: bold">IPython.display</span> <span style="color: #008000; font-weight: bold">import</span> display
 <span style="color: #008000; font-weight: bold">from</span> <span style="color: #0000FF; font-weight: bold">pylab</span> <span style="color: #008000; font-weight: bold">import</span> plt, mpl
-plt<span style="color: #666666">.</span>style<span style="color: #666666">.</span>use(<span style="color: #BA2121">&#39;seaborn&#39;</span>)
 mpl<span style="color: #666666">.</span>rcParams[<span style="color: #BA2121">&#39;font.family&#39;</span>] <span style="color: #666666">=</span> <span style="color: #BA2121">&#39;serif&#39;</span>
 
 <span style="color: #408080; font-style: italic"># Where to save the figures and data files</span>