Skip to content

0.3.0
Compare
Choose a tag to compare
@ealcobaca ealcobaca released this 19 May 20:02
· 341 commits to master since this release
0.3.0
06c34da

May, 2020

  • Metafeature extraction with confidence intervals

  • Pydoc fixes and package documentation/code consistency improvements

    • Reformatted 'model-based' group metafeature extraction methods arguments to
      a consistent format (all model-based metafeatures now receive a single
      mandatory argument 'dt_model', and all other arguments are optional
      arguments from precomputations.) Now it is much easier to use those
      methods directly without the main class (mfe) filter, if desired.

    • Now accepting user custom arguments in precomputation methods.

    • Added 'extract_from_model' MFE method, making easy to extract model-based
      metafeatures from a pre-fitted model without using the training data.

  • Memory issues

    • Now handling memory errors in precomputations, postcomputations and
      metafeature extraction as a regular exception.

  • Categorical attributes one-hot encoding option

    • Added option to encode categorical attributes using one-hot encoding
      instead of the current gray encoding.

  • New nan-resilient summary functions

    • All summary functions now can be calculated ignoring 'nan' values, using
      its nan-resilient version.

  • Online documentation improvement

Assets 2