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column_or_1d — scikit-learn 1.6.1 documentation
>>> column_or_1d ([ 1 , 1 ]) array([1, 1]) On this page This...type for y . Added in version 1.2. warn bool, default=False To...scikit-learn.org/stable/modules/generated/sklearn.utils.validation.column_or_1d.html -
Comparing Linear Bayesian Regressors — scikit-l...
1 , n_samples ) * 1.35 y = np . sqrt ( X...: y }) X = X . reshape (( - 1 , 1 )) # extrapolation X_plot =...scikit-learn.org/stable/auto_examples/linear_model/plot_ard.html -
Comparing various online solvers — scikit-learn...
tol = 1e-1 , C = 1.0e4 / X . shape [ 0 ]), ), ] xx = 1.0 - np ....= 110 , loss = "hinge" , C = 1.0 , tol = 1e-4 ), ), ( "Passive-Aggressive...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_comparison.html -
precision_recall_curve — scikit-learn 1.6.1 doc...
y_true is in {-1, 1} or {0, 1}, pos_label is set to 1, otherwise...0.66666667, 0.5 , 1. , 1. ]) >>> recall array([1. , 1. , 0.5, 0.5,...scikit-learn.org/stable/modules/generated/sklearn.metrics.precision_recall_curve.html -
as_float_array — scikit-learn 1.6.1 documentation
nan Deprecated since version 1.6: force_all_finite was renamed...ensure_all_finite and will be removed in 1.8. ensure_all_finite bool or ‘allow-nan’,...scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html -
Release Highlights for scikit-learn 0.24 — scik...
been removed in version 1.2. From 1.2, use # PartialDependenceDis...scikit-learn 1.0 Release Highlights for scikit-learn 1.0 Release...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_24_0.html -
FastICA on 2D point clouds — scikit-learn 1.6.1...
array ([[ 1 , 1 ], [ 0 , 2 ]]) # Mixing matrix...( 42 ) S = rng . standard_t ( 1.5 , size = ( 20000 , 2 )) S [:,...scikit-learn.org/stable/auto_examples/decomposition/plot_ica_vs_pca.html -
learning_curve — scikit-learn 1.6.1 documentation
1, 0.33, 0.55, 0.78, 1.]) , cv = None , scoring...(n_ticks,), default=np.linspace(0.1, 1.0, 5) Relative or absolute numbers...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html -
Ordinary Least Squares Example — scikit-learn 1...
legend () ax [ 1 ] . scatter ( X_test , y_test...label = "Test data points" ) ax [ 1 ] . plot ( X_test , y_pred , linewidth...scikit-learn.org/stable/auto_examples/linear_model/plot_ols.html -
OOB Errors for Random Forests — scikit-learn 1....
validated whilst being trained [ 1 ] . The example below demonstrates...= 25 , n_clusters_per_class = 1 , n_informative = 15 , random_state...scikit-learn.org/stable/auto_examples/ensemble/plot_ensemble_oob.html