Rebuild dev docs at master=d4532e2

Author: sklearn-ci

dev/_downloads/plot_compare_gpr_krr.py

@@ -102,6 +102,7 @@
       % (time.time() - stime))
 
 # Plot results
+plt.figure(figsize = (10,5))
 plt.scatter(X, y, c='k', label='data')
 plt.plot(X_plot, np.sin(X_plot), c='k', label='True')
 plt.plot(X_plot, y_kr, c='g', label='KRR (%s)' % kr.best_params_)
@@ -111,6 +112,7 @@
 plt.xlabel('data')
 plt.ylabel('target')
 plt.xlim(0, 20)
+plt.ylim(-4, 4)
 plt.title('GPR versus Kernel Ridge')
-plt.legend(loc="best", prop={'size': 10})
+plt.legend(loc=9, prop={'size': 10})
 plt.show()

dev/_images/plot_compare_gpr_krr.png

@@ -56,11 +56,11 @@ than just predicting the mean.
 
 **Script output**::
 
-  Time for KRR fitting: 7.832
-  Time for GPR fitting: 0.202
-  Time for KRR prediction: 0.130
-  Time for GPR prediction: 0.130
-  Time for GPR prediction with standard-deviation: 0.747
+  Time for KRR fitting: 7.571
+  Time for GPR fitting: 0.194
+  Time for KRR prediction: 0.138
+  Time for GPR prediction: 0.150
+  Time for GPR prediction with standard-deviation: 1.134
 
 
 
@@ -69,6 +69,6 @@ than just predicting the mean.
 .. literalinclude:: plot_compare_gpr_krr.py
     :lines: 47-
 
-**Total running time of the example:**  9.15 seconds
-( 0 minutes  9.15 seconds)
+**Total running time of the example:**  9.30 seconds
+( 0 minutes  9.30 seconds)
 

dev/_images/plot_compare_gpr_krr1.png

@@ -156,7 +156,7 @@ and ``value`` is an estimator object::
         n_components=None, whiten=False)), ('kernel_pca', KernelPCA(alpha=1.0,
         coef0=1, degree=3, eigen_solver='auto', fit_inverse_transform=False,
         gamma=None, kernel='linear', kernel_params=None, max_iter=None,
-        n_components=None, remove_zero_eig=False, tol=0))],
+        n_components=None, random_state=None, remove_zero_eig=False, tol=0))],
         transformer_weights=None)
 
 Like pipelines, feature unions have a shorthand constructor called

dev/_images/plot_compare_gpr_krr_001.png

@@ -43,6 +43,10 @@ Bug fixes
     - Fixed bug in :func:`manifold.spectral_embedding` where diagonal of unnormalized
       Laplacian matrix was incorrectly set to 1. By `Peter Fischer`_.
 
+    - Fixed incorrect initialization of :func:`utils.arpack.eigsh` on all 
+      occurrences. Affects :class:`cluster.SpectralBiclustering`,
+      :class:`decomposition.KernelPCA`, :class:`manifold.LocallyLinearEmbedding`,
+      and :class:`manifold.SpectralEmbedding`. By `Peter Fischer`_.
 
 API changes summary
 -------------------

dev/_images/plot_compare_gpr_krr_0011.png

@@ -206,11 +206,11 @@
 than just predicting the mean.</p>
 <img alt="../../_images/plot_compare_gpr_krr_001.png" class="align-center" src="../../_images/plot_compare_gpr_krr_001.png" />
 <p><strong>Script output</strong>:</p>
-<div class="highlight-python"><div class="highlight"><pre>Time for KRR fitting: 7.832
-Time for GPR fitting: 0.202
-Time for KRR prediction: 0.130
-Time for GPR prediction: 0.130
-Time for GPR prediction with standard-deviation: 0.747
+<div class="highlight-python"><div class="highlight"><pre>Time for KRR fitting: 7.571
+Time for GPR fitting: 0.194
+Time for KRR prediction: 0.138
+Time for GPR prediction: 0.150
+Time for GPR prediction with standard-deviation: 1.134
 </pre></div>
 </div>
 <p><strong>Python source code:</strong> <a class="reference download internal" href="../../_downloads/plot_compare_gpr_krr.py"><tt class="xref download docutils literal"><span class="pre">plot_compare_gpr_krr.py</span></tt></a></p>
@@ -272,6 +272,7 @@
       <span class="o">%</span> <span class="p">(</span><span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span> <span class="o">-</span> <span class="n">stime</span><span class="p">))</span>
 
 <span class="c"># Plot results</span>
+<a href="http://matplotlib.org/api/figure_api.html#matplotlib.figure"><span class="n">plt</span><span class="o">.</span><span class="n">figure</span></a><span class="p">(</span><span class="n">figsize</span> <span class="o">=</span> <span class="p">(</span><span class="mi">10</span><span class="p">,</span><span class="mi">5</span><span class="p">))</span>
 <a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.scatter"><span class="n">plt</span><span class="o">.</span><span class="n">scatter</span></a><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s">&#39;k&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s">&#39;data&#39;</span><span class="p">)</span>
 <a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.plot"><span class="n">plt</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><span class="n">X_plot</span><span class="p">,</span> <a href="http://docs.scipy.org/doc/numpy-1.6.0/reference/generated/numpy.sin.html#numpy.sin"><span class="n">np</span><span class="o">.</span><span class="n">sin</span></a><span class="p">(</span><span class="n">X_plot</span><span class="p">),</span> <span class="n">c</span><span class="o">=</span><span class="s">&#39;k&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s">&#39;True&#39;</span><span class="p">)</span>
 <a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.plot"><span class="n">plt</span><span class="o">.</span><span class="n">plot</span></a><span class="p">(</span><span class="n">X_plot</span><span class="p">,</span> <span class="n">y_kr</span><span class="p">,</span> <span class="n">c</span><span class="o">=</span><span class="s">&#39;g&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s">&#39;KRR (</span><span class="si">%s</span><span class="s">)&#39;</span> <span class="o">%</span> <span class="n">kr</span><span class="o">.</span><span class="n">best_params_</span><span class="p">)</span>
@@ -281,13 +282,14 @@
 <a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.xlabel"><span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span></a><span class="p">(</span><span class="s">&#39;data&#39;</span><span class="p">)</span>
 <a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.ylabel"><span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span></a><span class="p">(</span><span class="s">&#39;target&#39;</span><span class="p">)</span>
 <a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.xlim"><span class="n">plt</span><span class="o">.</span><span class="n">xlim</span></a><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">20</span><span class="p">)</span>
+<a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.ylim"><span class="n">plt</span><span class="o">.</span><span class="n">ylim</span></a><span class="p">(</span><span class="o">-</span><span class="mi">4</span><span class="p">,</span> <span class="mi">4</span><span class="p">)</span>
 <a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.title"><span class="n">plt</span><span class="o">.</span><span class="n">title</span></a><span class="p">(</span><span class="s">&#39;GPR versus Kernel Ridge&#39;</span><span class="p">)</span>
-<a href="http://matplotlib.org/api/legend_api.html#matplotlib.legend"><span class="n">plt</span><span class="o">.</span><span class="n">legend</span></a><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s">&quot;best&quot;</span><span class="p">,</span> <span class="n">prop</span><span class="o">=</span><span class="p">{</span><span class="s">&#39;size&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">})</span>
+<a href="http://matplotlib.org/api/legend_api.html#matplotlib.legend"><span class="n">plt</span><span class="o">.</span><span class="n">legend</span></a><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="mi">9</span><span class="p">,</span> <span class="n">prop</span><span class="o">=</span><span class="p">{</span><span class="s">&#39;size&#39;</span><span class="p">:</span> <span class="mi">10</span><span class="p">})</span>
 <a href="http://matplotlib.org/api/pyplot_api.html#matplotlib.pyplot.show"><span class="n">plt</span><span class="o">.</span><span class="n">show</span></a><span class="p">()</span>
 </pre></div>
 </div>
-<p><strong>Total running time of the example:</strong>  9.15 seconds
-( 0 minutes  9.15 seconds)</p>
+<p><strong>Total running time of the example:</strong>  9.30 seconds
+( 0 minutes  9.30 seconds)</p>
 </div>
 
 

dev/_sources/auto_examples/gaussian_process/plot_compare_gpr_krr.txt

@@ -172,7 +172,7 @@
 <h1><a class="reference internal" href="../classes.html#module-sklearn.base" title="sklearn.base"><tt class="xref py py-mod docutils literal"><span class="pre">sklearn.base</span></tt></a>.BaseEstimator<a class="headerlink" href="#sklearn-base-baseestimator" title="Permalink to this headline">¶</a></h1>
 <dl class="class">
 <dt id="sklearn.base.BaseEstimator">
-<em class="property">class </em><tt class="descclassname">sklearn.base.</tt><tt class="descname">BaseEstimator</tt><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/8b990c3/sklearn/base.py#L169"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sklearn.base.BaseEstimator" title="Permalink to this definition">¶</a></dt>
+<em class="property">class </em><tt class="descclassname">sklearn.base.</tt><tt class="descname">BaseEstimator</tt><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/d4532e2/sklearn/base.py#L169"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sklearn.base.BaseEstimator" title="Permalink to this definition">¶</a></dt>
 <dd><p>Base class for all estimators in scikit-learn</p>
 <p class="rubric">Notes</p>
 <p>All estimators should specify all the parameters that can be set
@@ -201,7 +201,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.base" tit
 
 <dl class="method">
 <dt id="sklearn.base.BaseEstimator.get_params">
-<tt class="descname">get_params</tt><big>(</big><em>deep=True</em><big>)</big><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/8b990c3/sklearn/base.py#L206"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sklearn.base.BaseEstimator.get_params" title="Permalink to this definition">¶</a></dt>
+<tt class="descname">get_params</tt><big>(</big><em>deep=True</em><big>)</big><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/d4532e2/sklearn/base.py#L206"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sklearn.base.BaseEstimator.get_params" title="Permalink to this definition">¶</a></dt>
 <dd><p>Get parameters for this estimator.</p>
 <table class="docutils field-list" frame="void" rules="none">
 <col class="field-name" />
@@ -226,7 +226,7 @@ <h1><a class="reference internal" href="../classes.html#module-sklearn.base" tit
 
 <dl class="method">
 <dt id="sklearn.base.BaseEstimator.set_params">
-<tt class="descname">set_params</tt><big>(</big><em>**params</em><big>)</big><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/8b990c3/sklearn/base.py#L243"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sklearn.base.BaseEstimator.set_params" title="Permalink to this definition">¶</a></dt>
+<tt class="descname">set_params</tt><big>(</big><em>**params</em><big>)</big><a class="reference external" href="https://github.com/scikit-learn/scikit-learn/blob/d4532e2/sklearn/base.py#L243"><span class="viewcode-link">[source]</span></a><a class="headerlink" href="#sklearn.base.BaseEstimator.set_params" title="Permalink to this definition">¶</a></dt>
 <dd><p>Set the parameters of this estimator.</p>
 <p>The method works on simple estimators as well as on nested objects
 (such as pipelines). The former have parameters of the form