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update samples from Release-51 as a part of SDK release
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how-to-use-azureml/automated-machine-learning/automl_env.yml

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- pip:
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# Required packages for AzureML execution, history, and data preparation.
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- azureml-defaults
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- azureml-dataprep[pandas]
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- azureml-train-automl
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- azureml-train
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- azureml-widgets
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- azureml-pipeline
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- pytorch-transformers==1.0.0
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- spacy==2.1.8
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- pyarrow==0.17.0
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- https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz
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how-to-use-azureml/automated-machine-learning/automl_env_mac.yml

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@@ -21,11 +21,11 @@ dependencies:
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- pip:
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# Required packages for AzureML execution, history, and data preparation.
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- azureml-defaults
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- azureml-dataprep[pandas]
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- azureml-train-automl
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- azureml-train
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- azureml-widgets
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- azureml-pipeline
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- pytorch-transformers==1.0.0
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- spacy==2.1.8
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- pyarrow==0.17.0
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- https://aka.ms/automl-resources/packages/en_core_web_sm-2.1.0.tar.gz

how-to-use-azureml/training/train-on-amlcompute/train-on-amlcompute.ipynb

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" admin_user_ssh_key='<my-sshkey>',\n",
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" remote_login_port_public_access='enabled',\n",
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" identity_type='UserAssigned',\n",
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" identity_id='<user-assigned-identity-id>')\n",
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" identity_id=['<resource-id1>'])\n",
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" cpu_cluster = ComputeTarget.create(ws, cpu_cluster_name, compute_config)\n",
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"\n",
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"cpu_cluster.wait_for_completion(show_output=True)"

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