asreview.models.classifiers.base.BaseTrainClassifier

class asreview.models.classifiers.base.BaseTrainClassifier

Base model, abstract class to be implemented by derived ones.

All the non-abstract methods are okay if they are not implemented. There is a distinction between model parameters, which are needed during model creation and fit parameters, which are used during the fitting process. Fit parameters can be distinct from fit_kwargs (which are passed to the fit function).

Attributes

default_param	Get the default parameters of the model.
name
param	Get the (assigned) parameters of the model.

Methods

fit(X, y)	Fit the model to the data.
full_hyper_space()
hyper_space()
predict_proba(X)	Get the inclusion probability for each sample.