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Robust linear estimator fitting — scikit-learn ...
sin ( X_test ) X_test = X_test [:, np . newaxis ] y_errors...newaxis ] X_test = np . random . normal ( size = 200 ) y_test = np ....scikit-learn.org/stable/auto_examples/linear_model/plot_robust_fit.html -
Class Likelihood Ratios to measure classificati...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...classification performance Pre-test vs. post-test analysis Cross-validation...scikit-learn.org/stable/auto_examples/model_selection/plot_likelihood_ratios.html -
Installing scikit-learn — scikit-learn 1.4.2 do...
2 tests pytest-cov 2.9.0 tests ruff 0.0.272 tests black 23.3.0...23.3.0 tests mypy 1.3 tests pyamg 4.0.0 tests polars 0.19.12...scikit-learn.org/stable/install.html -
1.13. Feature selection — scikit-learn 1.4.2 do...
the best features based on univariate statistical tests. It can...we can use a F-test to retrieve the two best features for a dataset...scikit-learn.org/stable/modules/feature_selection.html -
Nearest Neighbors Classification — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...split the data into a train and test dataset. from sklearn.datasets...scikit-learn.org/stable/auto_examples/neighbors/plot_classification.html -
ROC Curve with Visualization API — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( svc , X_test , y_test ) plt . show () Training...scikit-learn.org/stable/auto_examples/miscellaneous/plot_roc_curve_visualization_api.html -
Gaussian processes on discrete data structures ...
) X_test = [ "AAA" , "ATAG" , "CTC" , "CT" , "C" ] Y_test = [...len ( X_test )), [ 1.0 if c else - 1.0 for c in Y_test ], s =...scikit-learn.org/stable/auto_examples/gaussian_process/plot_gpr_on_structured_data.html -
Balance model complexity and cross-validated sc...
deviation of the best `mean_test_score`. """ best_score_idx = np...][ best_score_idx ] - cv_results [ "std_test_score" ][ best_score_idx...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_refit_callable.html -
Ordinary Least Squares and Ridge Regression Var...
plot ( X_test , clf . predict ( X_test ), color = "gray"...) ax . plot ( X_test , clf . predict ( X_test ), linewidth = 2...scikit-learn.org/stable/auto_examples/linear_model/plot_ols_ridge_variance.html -
5. Visualizations — scikit-learn 1.4.2 document...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( svc , X_test , y_test ) The returned svc_disp...scikit-learn.org/stable/visualizations.html -
Comparison between grid search and successive h...
is_sh : # SH dataframe: get mean_test_score values for the highest...= "param_C" , values = "mean_test_score" , aggfunc = "last" ,...scikit-learn.org/stable/auto_examples/model_selection/plot_successive_halving_heatmap.html -
Decision Tree Regression — scikit-learn 1.4.2 d...
predict ( X_test ) y_2 = regr_2 . predict ( X_test ) # Plot the.... fit ( X , y ) # Predict X_test = np . arange ( 0.0 , 5.0 ,...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression.html -
One-class SVM with non-linear kernel (RBF) — sc...
size n_error_test = y_pred_test [ y_pred_test == - 1 ] . size...X_train ) y_pred_test = clf . predict ( X_test ) y_pred_outliers...scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html -
Single estimator versus bagging: bias-variance ...
( y ) X_test , y_test = generate ( n_samples = n_test , noise...training set n_test = 1000 # Size of the test set noise = 0.1...scikit-learn.org/stable/auto_examples/ensemble/plot_bias_variance.html -
GMM covariances — scikit-learn 1.4.2 documentation
train_index ] X_test = iris . data [ test_index ] y_test = iris . target...transAxes ) y_test_pred = estimator . predict ( X_test ) test_accuracy...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
Developing scikit-learn estimators — scikit-lea...
_skip_test (default=False) whether to skip common tests entirely....Numbers Numerical assertions in tests Developing scikit-learn estimators...scikit-learn.org/stable/developers/develop.html -
sklearn.feature_selection.SelectFpr — scikit-le...
a FPR test. FPR test stands for False Positive Rate test. It controls...simple estimators as well as on nested objects (such as Pipeline )....scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectFpr.html -
Common pitfalls in the interpretation of coeffi...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...predict ( X_test ) mae_test = median_absolute_error ( y_test , y_pred...scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html -
sklearn.semi_supervised.LabelPropagation — scik...
the mean accuracy on the given test data and labels. set_params...the mean accuracy on the given test data and labels. In multi-label...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.LabelPropagation.html -
sklearn.linear_model.MultiTaskLasso — scikit-le...
n_features) Test samples. For some estimators...y_true.mean()) ** 2).sum() . The best possible score is 1.0 and it...scikit-learn.org/stable/modules/generated/sklearn.linear_model.MultiTaskLasso.html