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articles/machine-learning/azure-machine-learning-release-notes.md

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@@ -33,26 +33,26 @@ See [the list of known issues](resource-known-issues.md) to learn about known bu
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+ **Bug fixes and improvements**
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+ **azureml-automl-runtime**
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+ Fix a regression that caused a TypeError to be raised when running AutoML on Python versions below 3.5.4.
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+ Fixed a regression that caused a TypeError to be raised when running AutoML on Python versions below 3.5.4.
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+ **azureml-core**
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+ Fixed bug in `datastore.upload_files` where relative path that didn't start with `./` was not able to be used.
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+ Adds deprecation messages for all Image class codepaths
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+ Fix Model Management URL construction for Mooncake region.
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+ Fixes issue where models using source_dir couldn't be packaged for Azure Functions.
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+ Dataset: Fix the issue that `to_pandas_dataframe` silently fill nulls for error values in data. The default behavior now raise failure for data error. Two new arguments `on_error` and `out_of_range_datetime` are introduced to specify how to handle error values.
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+ Added deprecation messages for all Image class codepaths
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+ Fixed Model Management URL construction for Mooncake region.
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+ Fixed issue where models using source_dir couldn't be packaged for Azure Functions.
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+ Dataset: Fixed the issue that `to_pandas_dataframe` silently fill nulls for error values in data. The default behavior now raise failure for data error. Two new arguments `on_error` and `out_of_range_datetime` are introduced to specify how to handle error values.
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+ Datastore of Blob Container and Data Lake datastore can now be registered without credential provided. Dataset created from credential-less datastore will use managed identity from compute resource or user identity from browser interactive login to authenticate the data access.
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+ Added an option to [Environment.build_local()](https://docs.microsoft.com/en-us/python/api/azureml-core/azureml.core.environment%28class%29?view=azure-ml-py) to push an image into AzureML workspace container registry
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+ Updated the SDK to use new token library on azure synapse in a back compatible manner.
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+ **azureml-dataprep**
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+ Dataset: enable data access to credential-less Datastore of Storage Blob and Data Lake using compute or user identity. Please refer to these articles for permission configuration for identity based data access: [Storage Blob](https://docs.microsoft.com/en-us/azure/active-directory/managed-identities-azure-resources/tutorial-windows-vm-access-datalake), [Data Lake](https://docs.microsoft.com/en-us/azure/active-directory/managed-identities-azure-resources/tutorial-vm-windows-access-storage).
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+ Dataset: enabled data access to credential-less Datastore of Storage Blob and Data Lake using compute or user identity. Please refer to these articles for permission configuration for identity based data access: [Storage Blob](https://docs.microsoft.com/en-us/azure/active-directory/managed-identities-azure-resources/tutorial-windows-vm-access-datalake), [Data Lake](https://docs.microsoft.com/en-us/azure/active-directory/managed-identities-azure-resources/tutorial-vm-windows-access-storage).
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+ **azureml-interpret**
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+ Fixed bug where None was returned when no explanations were available for download. Now raises an exception, matching behavior elsewhere.
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+ **azureml-pipeline-steps**
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+ Disallow passing `DatasetConsumptionConfig`s to `Estimator`'s `inputs` parameter when the `Estimator` will be used in an `EstimatorStep`.
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+ Disallowed passing `DatasetConsumptionConfig`s to `Estimator`'s `inputs` parameter when the `Estimator` will be used in an `EstimatorStep`.
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+ **azureml-sdk**
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+ Added AutoML client to azureml-sdk package, enabling remote AutoML runs to be submitted without installing the full AutoML package.
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+ **azureml-train-automl-client**
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+ Correcting alignment on console output for automl runs
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+ Corrected alignment on console output for automl runs
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+ Fixed a bug where incorrect version of pandas may be installed on remote amlcompute.
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