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Common Interfaces and API
This module provides interfaces and uniform API with simple conventions that are used in other modules for supervised and unsupervised learning.
Traits
empty parameters for an estimator, see
BiasedEstimatorImplements method predict that estimates target value from new data
Implements method predict that estimates target value from new data, with borrowing
An estimator for supervised learning, that provides method
fit to learn from data and training valuesAn estimator for supervised learning.
In this one parameters are borrowed instead of moved, this is useful for parameters that carry
references. Also to be used when there is no predictor attached to the estimator.
Implements method transform that filters or modifies input data
An estimator for unsupervised learning, that provides method
fit to learn from data