modAL 0.2.0
Pre-release
Pre-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 toestimator
,X_initial
andy_initial
was renamed toX_training
andy_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.