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Implementaion of popular algorithms of data preprocessing for machine learning

Changelog #

4.0.0 #

  • DataFrame class split up into separate smaller entities
  • DataFrame class core moved to separate repository
  • Pipeline entity created
  • Categorical data encoders implemented Pipeable interface

3.4.0 #

  • DataFrame: encodedColumnRanges added

3.3.0 #

  • ml_linalg 10.0.0 supported

3.2.0 #

  • ml_linalg 9.0.0 supported

3.1.0 #

  • Categorical data processing: encoders parameter added to DataFrame.fromCsv constructor

3.0.0 #

  • xrange library supported: it's possible to provide ZRange object now instead of tuple2 to specify a range of indices

2.0.0 #

  • DataFrame introduced

1.1.0 #

  • Float32x4InterceptPreprocessor added
  • readme updated

1.0.0 #

  • Package published
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popularity

Publisher

verified publisherml-algo.com

Implementaion of popular algorithms of data preprocessing for machine learning

Repository (GitHub)
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License

BSD-2-Clause (LICENSE)

Dependencies

ml_dataframe, ml_linalg, quiver, tuple, xrange

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