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Comparing Nearest Neighbors with and without Ne...
X_test , y_train , y_test = train_test_split ( X ,...score = clf . score ( X_test , y_test ) _ , ax = plt . subplots...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html -
Lagged features for time series forecasting — s...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.2 , random_state = 42 )...scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html -
Effect of varying threshold for self-training —...
train_index ] X_test = X [ test_index ] y_test = y [ test_index ] y_test_true...y_test_true = y_true [ test_index ] self_training_clf . fit (...scikit-learn.org/stable/auto_examples/semi_supervised/plot_self_training_varying_threshold.html -
Elastic SharePoint Server connector reference |...
Connector testing for more details. To perform E2E testing for the...$ make ftest NAME=sharepoint_server For faster tests, add the...www.elastic.co/guide/en/enterprise-search/current/connectors-sharepoint.html -
sklearn.linear_model.SGDRegressor — scikit-lear...
n_features) Test samples. For some estimators...training will stop when (loss > best_loss - tol) for n_iter_no_change...scikit-learn.org/stable/modules/generated/sklearn.linear_model.SGDRegressor.html -
Multi-class AdaBoosted Decision Trees — scikit-...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...the remaining 30 percent for testing. from sklearn.model_selection...scikit-learn.org/stable/auto_examples/ensemble/plot_adaboost_multiclass.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 -
Curve Fitting with Bayesian Ridge Regression — ...
increasing = True ) X_test = np . vander ( x_test , n_order + 1 , increasing...predict ( X_test , return_std = True ) ax . plot ( x_test , func (...scikit-learn.org/stable/auto_examples/linear_model/plot_bayesian_ridge_curvefit.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 -
Gradient Boosting regularization — scikit-learn...
X_test , y_train , y_test = train_test_split ( X ,...( X_test )): test_deviance [ i ] = 2 * log_loss ( y_test , y_proba...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_regularization.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.covariance.GraphicalLasso — scikit-lear...
score (X_test[, y]) Compute the log-likelihood of X_test under the...: X_test array-like of shape (n_samples, n_features) Test data...scikit-learn.org/stable/modules/generated/sklearn.covariance.GraphicalLasso.html -
Getting Started — scikit-learn 1.4.2 documentation
X_test , y_train , y_test = train_test_split ( X ,...X_train , X_test , y_train , y_test = train_test_split ( X ,...scikit-learn.org/stable/getting_started.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 -
RBF SVM parameters — scikit-learn 1.4.2 documen...
best_params_ , grid . best_score_ ) ) The best parameters...and just applying it on the test set. from sklearn.preprocessing...scikit-learn.org/stable/auto_examples/svm/plot_rbf_parameters.html -
Release Highlights for scikit-learn 0.23 — scik...
X_test , y_train , y_test = train_test_split ( X ,...score ( X_test , y_test )) print ( gbdt . score ( X_test , y_test...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_23_0.html -
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 -
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 -
Probability Calibration curves — scikit-learn 1...
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_calibration_curve.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