nirs4all.operators.transforms.targets module

class nirs4all.operators.transforms.targets.IntegerKBinsDiscretizer(n_bins=5, encode='ordinal', strategy='quantile')[source]

Bases: TransformerMixin, BaseEstimator

KBinsDiscretizer qui retourne des entiers au lieu de floats

fit(X, y=None)[source]

inverse_transform(X)[source]

transform(X)[source]

class nirs4all.operators.transforms.targets.RangeDiscretizer(bins=5)[source]

Bases: TransformerMixin, BaseEstimator

__sklearn_clone__()[source]: Custom cloning method for sklearn compatibility.

fit(X, y=None)[source]

get_params(deep=True)[source]: Get parameters for this estimator.

inverse_transform(X)[source]

set_params(**params)[source]: Set the parameters of this estimator.

transform(X)[source]