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Merge pull request #109712 from PeterCLu/plu-update-snippet
Add dataset import
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articles/machine-learning/how-to-create-register-datasets.md

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@@ -109,6 +109,7 @@ By default, when you create a TabularDataset, column data types are inferred aut
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> If your storage is behind a virtual network or firewall, only creation of a dataset via the SDK is supported. To create your dataset, be sure to include the parameters `validate=False` and `infer_column_types=False` in your `from_delimited_files()` method. This bypasses the initial validation check and ensures that you can create your dataset from these secure files.
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```Python
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from azureml.core import Dataset
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from azureml.data.dataset_factory import DataType
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# create a TabularDataset from a delimited file behind a public web url and convert column "Survived" to boolean

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