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NimbusML Next

New Features

  • Add initial implementation of DatasetTransformer.

    PR#240 This transform allows a fitted transformer based model to be inserted in to another Pipeline.

    Pipeline([
    DatasetTransformer(transform_model=transform_pipeline.model),
    OnlineGradientDescentRegressor(label='c2', feature=['c1'])
])

Bug Fixes

  • **Fixed classes_ attribute when no y input specified **

    PR#218 Fix a bug with the classes_ attribute when no y input is specified during fitting. This addresses issue 216

  • **Fixed Add NumSharp.Core.dll **

    PR#220 Fixed a bug that prevented running TensorFlowScorer. This addresses issue 219

  • **Fixed Enable scoring of ML.NET models saved with new TransformerChain format **

    PR#230 Fixed error loading a model that was saved with mlnet auto-train. This addresses issue 201

  • **Fixed Pass python path to Dprep package **

    PR#232 Enable passing python executable to dataprep package, so dataprep can execute python transformations

Breaking Changes

None.

Enhancements

None.

Documentation and Samples

None.

Remarks

None.