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2.3. Clustering — scikit-learn 1.8.0 documentation
1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2 , 2...0 , 0 , 1 , 1 , 1 ] >>> labels_pred = [ 0 , 0 , 1 , 1 , 2 , 2...scikit-learn.org/stable/modules/clustering.html -
PredictionErrorDisplay — scikit-learn 1.8.0 doc...
scikit-learn 1.2 Release Highlights for scikit-learn 1.2 On this...Evaluation Guide . Added in version 1.2. Parameters : y_true ndarray...scikit-learn.org/stable/modules/generated/sklearn.metrics.PredictionErrorDisplay.html -
RationalQuadratic — scikit-learn 1.8.0 document...
RationalQuadratic ( length_scale = 1.0 , alpha = 1.0 , length_scale_bounds...RationalQuadratic ( length_scale = 1.0 , alpha = 1.5 ) >>> gpc = GaussianProcessClass...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
StackingRegressor — scikit-learn 1.8.0 document...
in version 1.1: The ‘prefit’ option was added in 1.1 Note A larger...means 1 unless in a joblib.parallel_backend context. -1 means...scikit-learn.org/stable/modules/generated/sklearn.ensemble.StackingRegressor.html -
DistanceMetric — scikit-learn 1.8.0 documentation
get_metric ( 'euclidean' ) >>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>>...10.63...] [5.65..., 8.48...] [1.41..., 4.24...]]) Available Metrics...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
GaussianProcessRegressor — scikit-learn 1.8.0 d...
ConstantKernel(1.0, constant_value_bounds="fixed") * RBF(1.0, lengt...implementation is based on Algorithm 2.1 of [RW2006] . In addition to standard...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessRegressor.html -
IterativeImputer — scikit-learn 1.8.0 documenta...
is met once max(abs(X_t - X_{t-1}))/max(abs(X[known_vals])) < tol...data types. Added in version 1.3. imputation_order {‘ascending’,...scikit-learn.org/stable/modules/generated/sklearn.impute.IterativeImputer.html -
LedoitWolf — scikit-learn 1.8.0 documentation
1]. n_features_in_ int Number of...all strings. Added in version 1.0. See also EllipticEnvelope An...scikit-learn.org/stable/modules/generated/sklearn.covariance.LedoitWolf.html -
check_scoring — scikit-learn 1.8.0 documentation
Added in version 1.6. Returns : scoring callable...return_X_y = True ) >>> y *= - 1 >>> clf = DecisionTreeClassifi...scikit-learn.org/stable/modules/generated/sklearn.metrics.check_scoring.html -
check_cv — scikit-learn 1.8.0 documentation
y = [ 1 , 1 , 0 , 0 , 0 , 0 ], classifier...scikit-learn.org/stable/modules/generated/sklearn.model_selection.check_cv.html