- Changing user's status endpoint retrieval to a lightweight version.
9.1.2
------------------
- Removing all nose dependencies in tests.
9.1.1
------------------
- Removing traces and refactoring Flatline interpreter invocation. - Migrating tests to pytest.
9.1.0
------------------
- Enabling local models to generate the transformations pipeline used in training to be able to apply it locally to input data for predictions. - Refactoring local models to bring the feature extraction capabilities to the transformations pipeline. - Rounding local numeric predictions and scores to 5 digits. - Improving Pipelines and Image Processing documentation.
9.0.1
------------------
- Fixing local batch_prediction method on DataFrames. - Improving the training examples method in the Fields class to produce examples of categorical field values following their original distribution.
9.0.0
------------------
- Renaming Pipeline class to BMLPipeline and refactoring to allow scikit-learn and Pandas pipelines to be also part of the Pipeline transformations. - Adding several DataTransformers (BMLDataTransformer, SKDataTransformer and DFDataTransformer) as wrappers for transformation generators.