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Overview of multiclass training meta-estimators...
code_size = 2 ) cv_results_tree = cross_validate..., X , y , cv = cv , n_jobs = 2 ) cv_results_ovo = cross_validate...scikit-learn.org/stable/auto_examples/multiclass/plot_multiclass_overview.html -
cluster_optics_xi — scikit-learn 1.8.0 do...
2 ], [ 2 , 5 ], [ 3 , 6 ], ... [ 8...samples (rounded to be at least 2). min_cluster_size int > 1...scikit-learn.org/stable/modules/generated/sklearn.cluster.cluster_optics_xi.html -
mean_gamma_deviance — scikit-learn 1.8.0 ...
2. , 2. ] >>> mean_gamma_deviance...with the power parameter power=2 . It is invariant to scaling of...scikit-learn.org/stable/modules/generated/sklearn.metrics.mean_gamma_deviance.html -
make_friedman2 — scikit-learn 1.8.0 docum...
0 ] ** 2 + ( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1...[source] # Generate the “Friedman #2” regression problem. This dataset...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman2.html -
Forecasting of CO2 level on Mona Loa dataset us...
co2_kernel 50**2 * RBF(length_scale=50) + 2**2 * RBF(length_scale=100)...GaussianProcessRegre(kernel=50**2 * RBF(length_scale=50) + 2**2 * RBF(length_scale=100)...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_co2.html -
7.4. Imputation of missing values — sciki...
2. Univariate feature imputation...>>> imp . fit ([[ 1 , 2 ], [ np . nan , 3 ], [ 7 , 6 ]])...scikit-learn.org/stable/modules/impute.html -
confusion_matrix — scikit-learn 1.8.0 doc...
>>> y_true = [ 2 , 0 , 2 , 2 , 0 , 1 ] >>> y_pred...y_pred = [ 0 , 0 , 2 , 2 , 0 , 2 ] >>> confusion_matrix...scikit-learn.org/stable/modules/generated/sklearn.metrics.confusion_matrix.html -
smacof — scikit-learn 1.8.0 documentation
2 ], [ 1 , 0 , 3 ], [ 2 , 3 , 0 ]]) >>>...metric = True , n_components = 2 , init = None , n_init = 'warn'...scikit-learn.org/stable/modules/generated/sklearn.manifold.smacof.html -
8.3. Generated datasets — scikit-learn 1....
"n_classes" : 2 }, { "n_informative" : 2 , "n_c..._class" : 2 , "n_classes" : 2 }, { "n_informative"...scikit-learn.org/stable/datasets/sample_generators.html -
LeavePGroupsOut — scikit-learn 1.8.0 docu...
group=[2] Test: index=[0 2], group=[1 3] Fold 2: Train: index=[0],...([ 1 , 2 , 1 ]) >>> groups = np . array ([ 1 , 2 , 3 ])...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LeavePGroupsOut.html