fuzzy-rough-learn 0.2.2

• Bug fixes

fuzzy-rough-learn 0.2.1

• Bug fixes
• Rename abstract base class ModelFactory to SoftMachine

fuzzy-rough-learn 0.2.0

Adds core set of data descriptors, basic feature preprocessors and first regressor, thoroughly revised api.

New algorithms

• data descriptors:

  • ALP
  • CD
  • EIF (wrapper requiring optional eif dependency
  • IF (wrapper for scikit-learn implementation)
  • LNND
  • LOF
  • MD
  • NND
  • SVM (wrapper for scikit-learn implementation)

• feature preprocessors:

  • LinearNormaliser

    • IQRNormaliser
    • MaxAbsNormaliser
    • RangeNormaliser
    • Standardiser

  • SAE (requires optional tensorflow dependency)

  • VectorSizeNormaliser

• regressors:

  • FRNN

API changes

• Uniform ModelFactory pattern: callable algorithms that create callable models.
• Preprocessors can be included at initialisation and are applied automatically.
• Algorithms are presented no longer by submodule (neighbours, trees, etc), but by type (classifiers, feature preprocessors, etc)
• Many changes and additions to secondary functions that can be used to parametrise the main algorithms.

fuzzy-rough-learn 0.1.0

Adds number of existing fuzzy rough set algorithms.

New algorithms

In neighbours:

• Fuzzy Rough Feature Selection (FRFS)
• Fuzzy ROugh NEighbourhood Consensus (FRONEC)
• Fuzzy Rough OVO COmbination (FROVOCO)
• Fuzzy Rough Prototype Selection (FRPS)

API changes

• neighbours.FRNNClassifier replaced by neighbours.FRNN
• Classifiers give confidence scores; absolute class predictions can be obtained with utility functions
• Classifiers follow construct/query pattern; scikit-learn fit/predict pattern can be obtained with utility class
• neighbours.owa_operators moved to utils.owa_operators
• utils.OWAOperator no longer initialised with fixed k, has to be passed to method calls instead
• utils.OWAOperator method calls and functions in utils.np_utils now accept fractional and None k

fuzzy-rough-learn 0.0.0

Initial release.

• Fuzzy Rough Nearest Neighbour Classification
• OWA operators
• wrapper class for nearest neighbour searches