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FastICA — scikit-learn 1.7.2 documentation
to ‘unit-variance’ in 1.3. fun {‘logcosh’, ‘exp’, ‘cube’} or...neg-entropy. Could be either ‘logcosh’, ‘exp’, or ‘cube’. You...scikit-learn.org/stable/modules/generated/sklearn.decomposition.FastICA.html -
ConfusionMatrixDisplay — scikit-learn 1.7.2 doc...
classes_ ) >>> disp . plot () <...> >>> plt . show () classmethod...Sample weights. normalize {‘true’, ‘pred’, ‘all’}, default=None...scikit-learn.org/stable/modules/generated/sklearn.metrics.ConfusionMatrixDisplay.html -
OrthogonalMatchingPursuitCV — scikit-learn 1.7....
1 ,]) array([-78.3854]) fit ( X , y , ** fit_params ) [source]...= 5 ) . fit ( X , y ) >>> reg . score ( X , y ) 0.9991 >>> reg...scikit-learn.org/stable/modules/generated/sklearn.linear_model.OrthogonalMatchingPursuitCV.html -
permutation_importance — scikit-learn 1.7.2 doc...
9 , 9 ],[ 1 , 9 , 9 ],[ 1 , 9 , 9 ], ... [ 0 , 9 , 9 ],[ 0 , 9...9 , 9 ],[ 0 , 9 , 9 ]] >>> y = [ 1 , 1 , 1 , 0 , 0 , 0 ] >>>...scikit-learn.org/stable/modules/generated/sklearn.inspection.permutation_importance.html -
mutual_info_score — scikit-learn 1.7.2 document...
= [ 0 , 1 , 1 , 0 , 1 , 0 ] >>> labels_pred = [ 0 , 1 , 0 , 0...switching \(U\) (i.e label_true ) with \(V\) (i.e. label_pred ) will...scikit-learn.org/stable/modules/generated/sklearn.metrics.mutual_info_score.html -
Photo: Latest Compelling Image Galleries. Photo...
Sarasota Herald-Tribune / USA-Today Network U.S. NEWS Photos: July...Chicago Dallas-Fort Worth Philadelphia Washington, D.C. Boston Bay...www.nbcnews.com/photos -
precision_recall_curve — scikit-learn 1.7.2 doc...
66666667, 0.5 , 1. , 1. ]) >>> recall array([1. , 1. , 0.5, 0.5, 0....0. ]) >>> thresholds array([0.1 , 0.35, 0.4 , 0.8 ]) Gallery...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html -
normalized_mutual_info_score — scikit-learn 1.7...
fo_score ([ 0 , 0 , 1 , 1 ], [ 0 , 0 , 1 , 1 ]) 1.0 >>> norm...fo_score ([ 0 , 0 , 1 , 1 ], [ 1 , 1 , 0 , 0 ]) 1.0 If classes...scikit-learn.org/stable/modules/generated/sklearn.metrics.normalized_mutual_info_score.html -
DummyRegressor — scikit-learn 1.7.2 documentation
X = np . array ([ 1.0 , 2.0 , 3.0 , 4.0 ]) >>> y = np . array...array ([ 2.0 , 3.0 , 5.0 , 10.0 ]) >>> dummy_regr = DummyRegressor...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
1.1. Linear Models — scikit-learn 1.7.2 documen...
0 ], [ 1 , 1 ]], [ 0 , .1 , 1 ]) Ridge(alpha=0.5) >>> reg . coef_...predicted value. \[\hat{y}(w, x) = w_0 + w_1 x_1 + ... + w_p x_p\]...scikit-learn.org/stable/modules/linear_model.html