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uf3.regression.least_squares.freeze_regularizer
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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.apply_weighted_gram
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uf3.regression.least_squares.apply_weighted_gram
¶
apply_weighted_gram
(
gram_matrix
:
numpy.ndarray
,
weight
:
float
)
→
numpy.ndarray
[source]
¶
Deprecated utility function for weighting gram matrix.