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classification_report — scikit-learn 1.8....
2 , 2 , 2 ] >>> y_pred = [ 0 , 0 , 2 , 2 , 1 ]...sample_weight = None , digits = 2 , output_dict = False , zero_division...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
MultiTaskElasticNet — scikit-learn 1.8.0 ...
[ 2 , 2 ]], [[ 0 , 0 ], [ 1 , 1 ], [ 2 , 2 ]]) Multi...is: ( 1 / ( 2 * n_samples )) * || Y - XW || _Fro ^ 2 + alpha *...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskElasticNet.html -
Comparison of LDA and PCA 2D projection of Iris...
the different samples on the 2 first principal components. Linear...target_names pca = PCA ( n_components = 2 ) X_r = pca . fit ( X ) . transform...scikit-learn.org/stable/auto_examples/decomposition/plot_pca_vs_lda.html -
Probability Calibration for 3-class classificat...
"($\frac {1}{2} $, $0$, $\frac {1}{2} $)" , xy = (..."($0$, $\frac {1}{2} $, $\frac {1}{2} $)" , xy = ( 0.0...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html -
cluster_optics_dbscan — scikit-learn 1.8....
2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8... ( ... X , ... min_samples = 2 , ... max_eps = np . inf , ......scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_dbscan.html -
incr_mean_variance_axis — scikit-learn 1....
2 , 2 ]) >>> data = np . array ([ 8 , 1 , 2 , 5...>>> scale = np . array ([ 2 , 3 , 2 ]) >>> csr = sparse...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.incr_mean_variance_axis.html -
ARDRegression — scikit-learn 1.8.0 docume...
[ 2 , 2 ]], [ 0 , 1 , 2 ]) ARDRegression() >>>...float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...scikit-learn.org/stable/modules/generated/sklearn.linear_model.ARDRegression.html -
HuberRegressor vs Ridge on dataset with strong ...
2.0 , size = 4 ) X_outliers [: 2 , :] += X . max...y_outliers [: 2 ] += y . min () - y . mean () / 4.0 y_outliers [ 2 :] +=...scikit-learn.org/stable/auto_examples/linear_model/plot_huber_vs_ridge.html -
OPTICS — scikit-learn 1.8.0 documentation
2 (1999): 49-60. [ 2 ] Schubert, Erich, Michael...>>> X = np . array ([[ 1 , 2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8...scikit-learn.org/stable/modules/generated/sklearn.cluster.OPTICS.html -
contingency_matrix — scikit-learn 1.8.0 d...
2 , 2 ] >>> labels_pred = [ 1 , 0 , 2 , 1 , 0...0 , 2 ] >>> contingency_matrix ( labels_true , labels_pred...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.contingency_matrix.html