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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 -
mean_poisson_deviance — scikit-learn 1.8....
= [ 2 , 0 , 1 , 4 ] >>> y_pred = [ 0.5 , 0.5 , 2. , 2....2. ] >>> mean_poisson_deviance ( y_true , y_pred ) 1.4260......scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_poisson_deviance.html -
Archiv
herunterladen Methode 2: Repository mit Git klonen Schritt 2: Überprüfung...Installation von OpenSearch Schritt 2: Installation von Fess Schritt...fess.codelibs.org/de/archives.html -
Plot the decision surface of decision trees tra...
2 ], [ 0 , 3 ], [ 1 , 2 ], [ 1 , 3 ], [ 2 , 3 ]]): #...boundary ax = plt . subplot ( 2 , 3 , pairidx + 1 ) plt . tight_layout...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html -
explained_variance_score — scikit-learn 1...
= [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2...= [ - 2 , - 2 , - 2 ] >>> y_pred = [ - 2 , - 2 , - 2...scikit-learn.org/stable/modules/generated/sklearn.metrics.explained_variance_score.html -
IsotonicRegression — scikit-learn 1.8.0 d...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...Operations Research Vol. 14, No. 2 (May, 1989), pp. 303-308 Isotone...scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html -
QuadraticDiscriminantAnalysis — scikit-le...
[ - 2 , - 1 ], [ - 3 , - 2 ], [ 1 , 1 ], [ 2 , 1 ], [ 3...3 , 2 ]]) >>> y = np . array ([ 1 , 1 , 1 , 2 , 2 , 2...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.QuadraticDiscriminantAnal... -
plot_classifier_comparison.rst.txt
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
plot_multi_metric_evaluation.zip
range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2, re...ax.plot( [ X_axis[best_index], ] * 2, [0, best_score], linestyle="-.",...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip -
QuantileRegressor — scikit-learn 1.8.0 do...
float \(R^2\) of self.predict(X) w.r.t. y . Notes The \(R^2\) score...n_samples , n_features = 10 , 2 >>> rng = np . random...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html