update tutorials

tutorials/img-classification-part1-training.ipynb

@@ -66,11 +66,10 @@
       "source": [
         "%matplotlib inline\n",
         "import numpy as np\n",
-        "import matplotlib\n",
         "import matplotlib.pyplot as plt\n",
         "\n",
-        "import azureml\n",
-        "from azureml.core import Workspace, Run\n",
+        "import azureml.core\n",
+        "from azureml.core import Workspace\n",
         "\n",
         "# check core SDK version number\n",
         "print(\"Azure ML SDK Version: \", azureml.core.VERSION)"
@@ -205,7 +204,6 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "import os\n",
         "import urllib.request\n",
         "\n",
         "os.makedirs('./data', exist_ok = True)\n",
@@ -354,7 +352,6 @@
       "metadata": {},
       "outputs": [],
       "source": [
-        "import os\n",
         "script_folder = './sklearn-mnist'\n",
         "os.makedirs(script_folder, exist_ok=True)"
       ]
@@ -690,7 +687,7 @@
   "metadata": {
     "authors": [
       {
-        "name": "roastala"
+        "name": "haining"
       }
     ],
     "kernelspec": {

tutorials/img-classification-part2-deploy.ipynb

@@ -99,11 +99,9 @@
       "source": [
         "%matplotlib inline\n",
         "import numpy as np\n",
-        "import matplotlib\n",
         "import matplotlib.pyplot as plt\n",
         " \n",
         "import azureml\n",
-        "from azureml.core import Workspace, Run\n",
         "\n",
         "# display the core SDK version number\n",
         "print(\"Azure ML SDK Version: \", azureml.core.VERSION)"
@@ -129,13 +127,9 @@
       },
       "outputs": [],
       "source": [
-        "from azureml.core import Workspace\n",
-        "from azureml.core.model import Model\n",
-        "\n",
         "ws = Workspace.from_config()\n",
         "model=Model(ws, 'sklearn_mnist')\n",
         "model.download(target_dir='.', exist_ok=True)\n",
-        "import os \n",
         "# verify the downloaded model file\n",
         "os.stat('./sklearn_mnist_model.pkl')"
       ]
@@ -521,7 +515,6 @@
       "outputs": [],
       "source": [
         "import requests\n",
-        "import json\n",
         "\n",
         "# send a random row from the test set to score\n",
         "random_index = np.random.randint(0, len(X_test)-1)\n",
@@ -581,14 +574,14 @@
         "> * Deploy the model to ACI\n",
         "> * Test the deployed model\n",
         " \n",
-        "You can also try out the [Automatic algorithm selection tutorial](03.auto-train-models.ipynb) to see how Azure Machine Learning can auto-select and tune the best algorithm for your model and build that model for you."
+        "You can also try out the [regression tutorial](regression-part1-data-prep.ipynb)."
       ]
     }
   ],
   "metadata": {
     "authors": [
       {
-        "name": "roastala"
+        "name": "haining"
       }
     ],
     "kernelspec": {

tutorials/regression-part2-automated-ml.ipynb

@@ -468,7 +468,7 @@
         "> * Explored and reviewed training results\n",
         "> * Registered the best model\n",
         "\n",
-        "[Deploy your model](02.deploy-models.ipynb) with Azure Machine Learning."
+        "You can also try out the [image classification tutorial](img-classification-part1-training.ipynb)."
       ]
     }
   ],