Skip to content

Latest commit

 

History

History
96 lines (70 loc) · 2.17 KB

CHANGELOG.md

File metadata and controls

96 lines (70 loc) · 2.17 KB

Changelog

7.0.2

  • README.md:
    • Fixed link to black_friday dataset

7.0.1

  • Added code formatting checking step to CI pipline
  • Corrected README examples
  • Added documentation to Encoder factory

7.0.0

  • ml_datframe 1.0.0 supported
  • featureNames parameter renamed to columnNames
  • featureIds parameter renamed to columnIndices
  • encodeAsIntegerLabels renamed to toIntegerLabels
  • encodeAsOneHotLabels renamed to toOneHotLabels

6.0.1

  • pubspec.yaml: ml_dataframe dependency updated

6.0.0

  • Null-safety added (stable release)

6.0.0-nullsafety.0

  • Null-safety added (beta release)

5.2.2

  • ml_dataframe: version 0.4.0 supported

5.2.1

  • ml_dataframe: version 0.3.0 supported
  • CI: github actions set up

5.2.0

  • UnknownValueHandlingType enum added to the lib's public API

5.1.2

  • ml_dataframe 0.2.0 supported

5.1.1

  • ml_dataframe dependency updated

5.1.0

  • Standardizer entity added
  • dtype parameter added as an argument for Pipeline.process method

5.0.4

  • Default values for parameters headerPrefix and headerPostfix added where it applicable

5.0.3

  • README corrected (ml_dataframe version corrected)

5.0.2

  • xrange dependency removed
  • ml_dataframe 0.0.11 supported

5.0.1

  • xrange package version locked

5.0.0

  • Encoder interface changed: there is no more encode method, use process from Pipeable instead
  • Normalizer entity added
  • normalize operator added

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