updated skflow and tensorflow imports

Author: dmclark53

Diff for: OCR/OCR_With_TensorFlow.ipynb

@@ -29,6 +29,7 @@
     "import os\n",
     "import sys\n",
     "import tarfile\n",
+    "import tensorflow as tf\n",
     "from IPython.display import display, Image\n",
     "from scipy import ndimage\n",
     "from sklearn.linear_model import LogisticRegression\n",
@@ -996,21 +997,21 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.5.1"
   }
  },
  "nbformat": 4,

Diff for: SKFlow Chess Example.ipynb

@@ -19,7 +19,7 @@
    },
    "outputs": [],
    "source": [
-    "import skflow\n",
+    "import tensorflow.contrib.learn as skflow\n",
     "from sklearn import datasets, metrics\n",
     "import pandas as pd"
    ]
@@ -516,21 +516,21 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.5.1"
   }
  },
  "nbformat": 4,

Diff for: SKFlow Introduction.ipynb

@@ -37,7 +37,7 @@
     }
    ],
    "source": [
-    "import skflow\n",
+    "import tensorflow.contrib.learn as skflow\n",
     "from sklearn import datasets, metrics\n",
     "\n",
     "iris = datasets.load_iris()\n",
@@ -73,7 +73,7 @@
     }
    ],
    "source": [
-    "import skflow\n",
+    "import tensorflow.contrib.learn as skflow\n",
     "from sklearn import datasets, metrics, preprocessing\n",
     "\n",
     "boston = datasets.load_boston()\n",
@@ -110,7 +110,7 @@
     }
    ],
    "source": [
-    "import skflow\n",
+    "import tensorflow.contrib.learn as skflow\n",
     "from sklearn import datasets, metrics\n",
     "\n",
     "iris = datasets.load_iris()\n",
@@ -146,7 +146,7 @@
     }
    ],
    "source": [
-    "import skflow\n",
+    "import tensorflow.contrib.learn as skflow\n",
     "from sklearn import datasets, metrics\n",
     "\n",
     "iris = datasets.load_iris()\n",
@@ -214,21 +214,21 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.10"
+   "pygments_lexer": "ipython3",
+   "version": "3.5.1"
   }
  },
  "nbformat": 4,

Diff for: Wine-Quality/Wine Quality.ipynb

@@ -1775,7 +1775,7 @@
    "source": [
     "# Train the model\n",
     "classifier = skflow.TensorFlowEstimator(model_fn=categorical_model,\n",
-    "    n_classes=3, learning_rate=0.01)"
+    "    n_classes=n_classes, learning_rate=0.01)"
    ]
   },
   {
@@ -1948,7 +1948,7 @@
    "source": [
     "# Train the model\n",
     "classifier = skflow.TensorFlowEstimator(model_fn=categorical_model,\n",
-    "    n_classes=3, learning_rate=0.01)"
+    "    n_classes=n_classes, learning_rate=0.01)"
    ]
   },
   {
@@ -2989,21 +2989,21 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.5.1"
   }
  },
  "nbformat": 4,