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Image denoising using dictionary learning ̵...
2 , 2 ) difference = image - reference...copy () distorted [:, width // 2 :] += 0.075 * np . random . randn...scikit-learn.org/stable/auto_examples/decomposition/plot_image_denoising.html -
mean_absolute_error — scikit-learn 1.8.0 ...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...>>> y_pred = [[ 0 , 2 ], [ - 1 , 2 ], [ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_absolute_error.html -
mean_squared_error — scikit-learn 1.8.0 d...
2 , 7 ] >>> y_pred = [ 2.5 , 0.0 , 2 , 8 ] >>>...>>> y_pred = [[ 0 , 2 ],[ - 1 , 2 ],[ 8 , - 5 ]] >>>...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_squared_error.html -
Lasso — scikit-learn 1.8.0 documentation
[ 2 , 2 ]], [ 0 , 1 , 2 ]) Lasso(alpha=0.1)...\(||y||_2^2 / n_{\text{samples}}\) . The target can be a 2-dimensional...scikit-learn.org/stable/modules/generated/sklearn.linear_model.Lasso.html -
multilabel_confusion_matrix — scikit-lear...
2]], [[5, 0], [1, 0]], [[2, 1], [1, 2]]]) On this...ndarray of shape (n_outputs, 2, 2) A 2x2 confusion matrix corresponding...scikit-learn.org/stable/modules/generated/sklearn.metrics.multilabel_confusion_matrix.html -
BaseEstimator — scikit-learn 1.8.0 docume...
{'param': 2} >>> X = np . array ([[ 1 , 2 ], [ 2 , 3 ],...y ) . predict ( X ) array([2, 2, 2]) >>> estimator ....scikit-learn.org/stable/modules/generated/sklearn.base.BaseEstimator.html -
inplace_csr_row_normalize_l2 — scikit-lea...
2 , 3 ]) >>> data = np . array ([ 1.0 , 2.0 , 3.0...>>> indptr = np . array ([ 0 , 2 , 3 , 4 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz... -
enet_path — scikit-learn 1.8.0 documentation
is: ( 1 / ( 2 * n_samples )) * || Y - XW || _Fro ^ 2 + alpha *...mono-output tasks it is: 1 / ( 2 * n_samples ) * || y - Xw ||^...scikit-learn.org/stable/modules/generated/sklearn.linear_model.enet_path.html -
d2_log_loss_score — scikit-learn 1.8.0 do...
Like R^2, D^2 score may be negative (it need...labels = None ) [source] # \(D^2\) score function, fraction of...scikit-learn.org/stable/modules/generated/sklearn.metrics.d2_log_loss_score.html -
inplace_swap_row — scikit-learn 1.8.0 doc...
2 , 2 ]) >>> data = np . array ([ 8 , 2 , 5 ])...>>> indptr = np . array ([ 0 , 2 , 3 , 3 , 3 ]) >>> indices...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_row.html