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Non-negative least squares — scikit-learn 1.4.2...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.5 ) Fit the Non-Negative...scikit-learn.org/stable/auto_examples/linear_model/plot_nnls.html -
sklearn.metrics.class_likelihood_ratios — sciki...
obtain post-test probabilities given a pre-test probability....classifier being a diagnostic test; the pre-test probability of an individual...scikit-learn.org/stable/modules/generated/sklearn.metrics.class_likelihood_ratios.html -
Feature discretization — scikit-learn 1.4.2 doc...
training and test part X_train , X_test , y_train , y_test = train_test_split...and testing points ax . scatter ( X_test [:, 0 ], X_test [:,...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
sklearn.model_selection.GroupKFold — scikit-lea...
f " Test: index= { test_index } , group= { groups [ test_index...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.GroupKFold.html -
Comparison of Calibration of Classifiers — scik...
X_test , y_train , y_test = train_test_split ( X ,...from_estimator ( clf , X_test , y_test , n_bins = 10 , name = name...scikit-learn.org/stable/auto_examples/calibration/plot_compare_calibration.html -
Gradient Boosting regression — scikit-learn 1.4...
X_test , y_train , y_test = train_test_split ( X ,...mean_squared_error ( y_test , reg . predict ( X_test )) print ( "The...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regression.html -
Scalable learning with polynomial kernel approx...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , train_size = 5_000 , test_size = 10_000...scikit-learn.org/stable/auto_examples/kernel_approximation/plot_scalable_poly_kernels.html -
sklearn.model_selection.validation_curve — scik...
print ( f "The average test accuracy is { test_scores . mean () :...curve. Determine training and test scores for varying parameter...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
Probability Calibration for 3-class classificat...
y [: 1000 ] X_test , y_test = X [ 1000 :], y [ 1000...log_loss ( y_test , clf_probs ) cal_score = log_loss ( y_test , cal_clf_probs...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html -
sklearn.gaussian_process.GaussianProcessClassif...
{‘one_vs_rest’, ‘one_vs_one’}, default=’one_vs_rest’ Specifies...are ‘one_vs_rest’ and ‘one_vs_one’. In ‘one_vs_rest’, one binary...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
7.2. Real world datasets — scikit-learn 1.4.2 d...
newsgroups_test = fetch_20newsgroups ( subset = 'test' , ... categories...vectors_test = vectorizer . transform ( newsgroups_test . data...scikit-learn.org/stable/datasets/real_world.html -
L1-based models for Sparse Signals — scikit-lea...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.5 , shuffle = False ) In...scikit-learn.org/stable/auto_examples/linear_model/plot_lasso_and_elasticnet.html -
sklearn.model_selection.LearningCurveDisplay — ...
test_scores = test_scores , score_name =...train_sizes , train_scores , test_scores , score_name = None )...scikit-learn.org/stable/modules/generated/sklearn.model_selection.LearningCurveDisplay.html -
Sample pipeline for text feature extraction and...
) data_test = fetch_20newsgroups ( subset = "test" , categories...vect__norm: l1 test_accuracy = random_search . score ( data_test . data...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_text_feature_extraction.html -
Multi-output Decision Tree Regression — scikit-...
predict ( X_test ) y_2 = regr_2 . predict ( X_test ) y_3 = regr_3.... fit ( X , y ) # Predict X_test = np . arange ( - 100.0 , 100.0...scikit-learn.org/stable/auto_examples/tree/plot_tree_regression_multioutput.html -
Understanding the decision tree structure — sci...
X_test , y_train , y_test = train_test_split ( X ,...decision_path ( X_test ) leaf_id = clf . apply ( X_test ) sample_id...scikit-learn.org/stable/auto_examples/tree/plot_unveil_tree_structure.html -
Custom refit strategy of a grid search with cro...
import train_test_split X_train , X_test , y_train , y_test = train_test_split..., "mean_test_recall" , "std_test_recall" , "mean_test_precision"...scikit-learn.org/stable/auto_examples/model_selection/plot_grid_search_digits.html -
Older Versions — scikit-learn 1.4.2 documentation
Arguments n_test and n_train are deprecated and renamed to test_size...preprocessor / analyzer nested structure for text feature extraction...scikit-learn.org/stable/whats_new/older_versions.html -
Logistic function — scikit-learn 1.4.2 document...
plot ( X_test , ols . coef_ * X_test + ols . intercept_...= "black" , zorder = 20 ) X_test = np . linspace ( - 5 , 10 ,...scikit-learn.org/stable/auto_examples/linear_model/plot_logistic.html -
Elastic Zoom connector reference | Enterprise S...
Connector testing for more details. To perform E2E testing for the...command: $ make ftest NAME=zoom For faster tests, add the DATA_SIZE=small...www.elastic.co/guide/en/enterprise-search/current/connectors-zoom.html