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update samples from Release-60 as a part of SDK release

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amlrelsa-ms
2020-08-04 06:12:06 +00:00
parent 0ab8b141ee
commit 5b684070e1
62 changed files with 278 additions and 16066 deletions
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4
tutorials/image-classification-mnist-data/img-classification-part1-training.ipynb
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@@ -413,7 +413,7 @@
"\n",
"In this tutorial, the target is AmlCompute. All files in the script folder are uploaded into the cluster nodes for execution. The data_folder is set to use the dataset.\n",
"\n",
"First, create the environment that contains: the scikit-learn library, azureml-dataprep required for accessing the dataset, and azureml-defaults which contains the dependencies for logging metrics. The azureml-defaults also contains the dependencies required for deploying the model as a web service later in the part 2 of the tutorial.\n",
"First, create the environment that contains: the scikit-learn library, azureml-dataset-runtime required for accessing the dataset, and azureml-defaults which contains the dependencies for logging metrics. The azureml-defaults also contains the dependencies required for deploying the model as a web service later in the part 2 of the tutorial.\n",
"\n",
"Once the environment is defined, register it with the Workspace to re-use it in part 2 of the tutorial."
]
@@ -429,7 +429,7 @@
"\n",
"# to install required packages\n",
"env = Environment('tutorial-env')\n",
"cd = CondaDependencies.create(pip_packages=['azureml-dataprep[pandas,fuse]>=1.1.14', 'azureml-defaults'], conda_packages = ['scikit-learn==0.22.1'])\n",
"cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults'], conda_packages = ['scikit-learn==0.22.1'])\n",
"\n",
"env.python.conda_dependencies = cd\n",
"\n",

2
tutorials/image-classification-mnist-data/img-classification-part2-deploy.ipynb
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@@ -65,7 +65,7 @@
"\n",
"# to install required packages\n",
"env = Environment('tutorial-env')\n",
"cd = CondaDependencies.create(pip_packages=['azureml-dataprep[pandas,fuse]>=1.1.14', 'azureml-defaults'], conda_packages = ['scikit-learn==0.22.1'])\n",
"cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults'], conda_packages = ['scikit-learn==0.22.1'])\n",
"\n",
"env.python.conda_dependencies = cd\n",
"\n",

6
tutorials/image-classification-mnist-data/img-classification-part3-deploy-encrypted.ipynb
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@@ -81,8 +81,8 @@
"from azureml.core.conda_dependencies import CondaDependencies\n",
"\n",
"# to install required packages\n",
"env = Environment('tutorial-env')\n",
"cd = CondaDependencies.create(pip_packages=['azureml-dataprep[pandas,fuse]>=1.1.14', 'azureml-defaults', 'azure-storage-blob', 'encrypted-inference==0.9'], conda_packages = ['scikit-learn==0.22.1'])\n",
"env = Environment('tutorial-encryption-env')\n",
"cd = CondaDependencies.create(pip_packages=['azureml-dataset-runtime[pandas,fuse]', 'azureml-defaults', 'azure-storage-blob', 'encrypted-inference==0.9'], conda_packages = ['scikit-learn==0.22.1'])\n",
"\n",
"env.python.conda_dependencies = cd\n",
"\n",
@@ -282,7 +282,7 @@
"ws = Workspace.from_config()\n",
"model = Model(ws, 'sklearn_mnist')\n",
"\n",
"myenv = Environment.get(workspace=ws, name=\"tutorial-env\")\n",
"myenv = Environment.get(workspace=ws, name=\"tutorial-encryption-env\")\n",
"inference_config = InferenceConfig(entry_script=\"score.py\", environment=myenv)\n",
"\n",
"service_name = 'sklearn-mnist-svc-' + str(uuid.uuid4())[:4]\n",