chemicalchecker.tool.targetmate.nonconformist.nc.RegressorNormalizer

class RegressorNormalizer(base_model, normalizer_model, err_func)[source]

Bases: BaseScorer

Methods

`fit`
`get_params`	Get parameters for this estimator.
`score`
`set_params`	Set the parameters of this estimator.

get_params(deep=True)

Get parameters for this estimator.

Parameters

deepbool, default=True: If True, will return the parameters for this estimator and contained subobjects that are estimators.

Returns

paramsdict: Parameter names mapped to their values.

set_params(**params)

Set the parameters of this estimator.

The method works on simple estimators as well as on nested objects (such as Pipeline). The latter have parameters of the form <component>__<parameter> so that it’s possible to update each component of a nested object.

Parameters

**paramsdict: Estimator parameters.

Returns

selfestimator instance: Estimator instance.