Azure ML Data Preparation SDK

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Azure Machine Learning Data Prep SDK for Python

The Azure Machine Learning Data Prep SDK is used to load, transform, and write data for machine learning workflows. You can interact with the SDK in any Python environment, including Jupyter Notebooks or your favorite Python IDE.

This python SDK includes the following functionality to help prepare your data for modeling:

  • Intelligent time-saving transformations such as:
  • Automatic file type detection. The SDK can automatically detect any of the supported file types. You don’t need to use special file readers for CSV, text, Excel, etc., or to specify delimiter, header, or encoding parameters.
  • Cross-platform functionality with a single code artifact. The SDK also allows for dataflow objects to be serialized and opened in any Python environment. Write to a single SDK and run it on Windows, macOS, Linux, or Spark in a scale-up or scale-out manner. When running in scale-up, the engine attempts to utilize all hardware threads available, when running scale-out the engine allows the distributed scheduler to optimize execution.
  • Summary statistics can be generated quickly for a dataflow with a single line of code.
  • Scale through streaming. Instead of loading all the data into memory, the SDK engine streams data for better scale and performance on large datasets.

Install the SDK

To install the Azure Machine Learning Data Prep SDK for Python, use the following command:

pip install --upgrade azureml-dataprep

Learn how to use it

Here are some resources to help you learn more about the Azure Machine Learning Data Prep SDK for Python:

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Release history Release notifications | RSS feed

5.3.0

5.2.1

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5.1.6

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Reason this release was yanked:

Found incompatibility with azureml service.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

2.6.2 yanked

Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

2.6.1 yanked

Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

2.5.1 yanked

Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

2.5.0 yanked

Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

Incorrect dependency specified in this version causes installation to fail.

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Reason this release was yanked:

This version contains and incorrect version dependency on azureml-dataprep-native.

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Reason this release was yanked:

At this time, we recommend against using this version, as we received reports of issues in very specific cases.

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Reason this release was yanked:

At this time, we recommend against using this version, as we received reports of issues in very specific cases.

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Reason this release was yanked:

This version added a dependency that does not support Windows Python 3.5 environments.

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