Pushing the docs to dev/ for branch: master, commit 5756a9934b2859b3525b76164ba3ec95a30a03f1

Author: sklearn-ci

dev/_downloads/3409d9766d352cc9f9b169d4a799a87a/auto_examples_python.zip

@@ -26,7 +26,7 @@
       },
       "outputs": [],
       "source": [
-        "import numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn.decomposition.nmf import _beta_divergence\n\nprint(__doc__)\n\nx = np.linspace(0.001, 4, 1000)\ny = np.zeros(x.shape)\n\ncolors = 'mbgyr'\nfor j, beta in enumerate((0., 0.5, 1., 1.5, 2.)):\n    for i, xi in enumerate(x):\n        y[i] = _beta_divergence(1, xi, 1, beta)\n    name = \"beta = %1.1f\" % beta\n    plt.plot(x, y, label=name, color=colors[j])\n\nplt.xlabel(\"x\")\nplt.title(\"beta-divergence(1, x)\")\nplt.legend(loc=0)\nplt.axis([0, 4, 0, 3])\nplt.show()"
+        "import numpy as np\nimport matplotlib.pyplot as plt\nfrom sklearn.decomposition._nmf import _beta_divergence\n\nprint(__doc__)\n\nx = np.linspace(0.001, 4, 1000)\ny = np.zeros(x.shape)\n\ncolors = 'mbgyr'\nfor j, beta in enumerate((0., 0.5, 1., 1.5, 2.)):\n    for i, xi in enumerate(x):\n        y[i] = _beta_divergence(1, xi, 1, beta)\n    name = \"beta = %1.1f\" % beta\n    plt.plot(x, y, label=name, color=colors[j])\n\nplt.xlabel(\"x\")\nplt.title(\"beta-divergence(1, x)\")\nplt.legend(loc=0)\nplt.axis([0, 4, 0, 3])\nplt.show()"
       ]
     }
   ],

dev/_downloads/7a6dcc0ff8085c04d9bb39a9cb61898c/plot_beta_divergence.ipynb

@@ -8,7 +8,7 @@
 """
 import numpy as np
 import matplotlib.pyplot as plt
-from sklearn.decomposition.nmf import _beta_divergence
+from sklearn.decomposition._nmf import _beta_divergence
 
 print(__doc__)