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modAL 0.2.0

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@cosmic-cortex cosmic-cortex released this 10 Feb 11:42
· 384 commits to master since this release

Release notes

New features

  • Information density measures. With the information_density function in modAL.density, density-based information metrics can be employed.
  • Functions for making new utility measures by linear combinations and products. With the function factories in modAL.utils.combination, functions can be transformed into their linear combination and product.

Changes

  • ActiveLearner constructor arguments renamed: predictor was renamed to estimator, X_initial and y_initial was renamed to X_training and y_training.
  • ActiveLearner, Committee and CommitteeRegressor now also inherits from sklearn.base.BaseEstimator. Because of this, for instance, get_params() and set_params() methods can be used.
  • The private attributes of ActiveLearner, Committee and CommitteeRegressor now exposed as public attributes.
  • As a result of the previous, the classes now can be cloned with sklearn.base.clone.