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tutorials/create-first-ml-experiment/tutorial-1st-experiment-sdk-train.ipynb

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"\n",
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"In this tutorial, you learn the following tasks:\n",
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"\n",
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"\n",
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"> * Connect your workspace and create an experiment \n",
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"> * Load data and train a scikit-learn model\n",
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"> * View training results in the studio\n",
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"> * Retrieve the best model",
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"\n"
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"> * Retrieve the best model"
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"Import the `Workspace` class, and load your subscription information from the file `config.json` using the function `from_config().` This looks for the JSON file in the current directory by default, but you can also specify a path parameter to point to the file using `from_config(path=\"your/file/path\")`. If you are running this notebook in a cloud notebook server in your workspace, the file is automatically in the root directory.\n",
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"\n",
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"If the following code asks for additional authentication, simply paste the link in a browser and enter the authentication token. In addition, if you have more than one tenant linked to your user, you will need to add the following lines:\n",
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"```\n",
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"from azureml.core.authentication import InteractiveLoginAuthentication\n",
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"interactive_auth = InteractiveLoginAuthentication(tenant_id=\"your-tenant-id\")\n",
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"Additional details on authentication can be found here: https://aka.ms/aml-notebook-auth \n"
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"Additional details on authentication can be found here: https://aka.ms/aml-notebook-auth \n",
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"```\n"
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{

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