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update samples from Release-103 as a part of SDK release
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how-to-use-azureml/explain-model/azure-integration/scoring-time/train-explain-model-locally-and-deploy.ipynb

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"# the submitted job is run in. Note the remote environment(s) needs to be similar to the local\n",
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"# environment, otherwise if a model is trained or deployed in a different environment this can\n",
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"# cause errors. Please take extra care when specifying your dependencies in a production environment.\n",
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"myenv = CondaDependencies.create(pip_packages=['pyyaml', sklearn_dep, pandas_dep] + azureml_pip_packages,\n",
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" pin_sdk_version=False)\n",
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"myenv = CondaDependencies.create(pip_packages=['pyyaml', sklearn_dep, pandas_dep] + azureml_pip_packages)\n",
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"\n",
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"with open(\"myenv.yml\",\"w\") as f:\n",
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" f.write(myenv.serialize_to_string())\n",

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