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uf3.regression.least_squares.find_pair_potential_well
uf3.regression.least_squares.freeze_columns
uf3.regression.least_squares.freeze_regularizer
uf3.regression.least_squares.get_freezing_mask
uf3.regression.least_squares.linear_least_squares
uf3.regression.least_squares.lu_factorization
uf3.regression.least_squares.mae_metric
uf3.regression.least_squares.moore_penrose_components
uf3.regression.least_squares.postprocess_coefficients_2b
uf3.regression.least_squares.revert_frozen_coefficients
uf3.regression.least_squares.rmse_metric
uf3.regression.least_squares.subset_prediction
uf3.regression.least_squares.validate_regularizer
uf3.regression.least_squares.weighted_least_squares
uf3.regression.least_squares.BasicLinearModel
uf3.regression.least_squares.VarianceRecorder
uf3.regression.least_squares.WeightedLinearModel
uf3.regression.regularize
uf3.representation
uf3.util
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uf3.regression.least_squares.freeze_regularizer
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uf3.regression.least_squares.freeze_regularizer
¶
freeze_regularizer
(
regularizer
:
numpy.ndarray
,
mask
:
numpy.ndarray
)
→
numpy.ndarray
[source]
¶
Apply freezing mask to regularizer, eliminating masked columns.