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IBM open-sources its Granite AI models - and th...
using these LLMs to create tests and find and fix bugs. "Many...day -- from generating unit tests to writing documentation or...www.zdnet.com/article/ibm-open-sources-its-granite-ai-models-and-they-mean-business/ -
Explicit feature map approximation for RBF kern...
the second half: data_test , targets_test = ( data [ n_samples...2 :]) # data_test = scaler.transform(data_test) # Create a classifier:...scikit-learn.org/stable/auto_examples/miscellaneous/plot_kernel_approximation.html -
CalibrationDisplay — scikit-learn 1.5.0 documen...
X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/generated/sklearn.calibration.CalibrationDisplay.html -
Plotting Learning Curves and Checking Models’ S...
[ test_scores_nb , test_scores_svm ], [ naive_bayes...axis = 1 ), test_scores . mean ( axis = 1 ) - test_scores . std...scikit-learn.org/stable/auto_examples/model_selection/plot_learning_curve.html -
Features in Histogram Gradient Boosting Trees —...
import train_test_split X_train , X_test , y_train , y_test = train_test_split...train_test_split ( X , y , test_size = 0.4 , shuffle = False ) print...scikit-learn.org/stable/auto_examples/ensemble/plot_hgbt_regression.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 -
DetCurveDisplay — scikit-learn 1.5.0 documentation
X_test , y_train , y_test = train_test_split ( ......X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/generated/sklearn.metrics.DetCurveDisplay.html -
Version 1.0 — scikit-learn 1.6.dev0 documentation
'mean_test_score' 'std_test_score' , and 'split(k)_test_score'...Change utils._testing.assert_warns and utils._testing.assert_warns_message...scikit-learn.org/dev/whats_new/v1.0.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 -
StratifiedGroupKFold — scikit-learn 1.5.0 docum...
print ( f " Test: index= { test_index } " ) ... print...indices for that split. test ndarray The testing set indices for that...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedGroupKFold.html -
PrecisionRecallDisplay — scikit-learn 1.5.0 doc...
X_test , y_train , y_test = train_test_split ( X ,...X_train , X_test , y_train , y_test = train_test_split ( ......scikit-learn.org/stable/modules/generated/sklearn.metrics.PrecisionRecallDisplay.html -
StratifiedKFold — scikit-learn 1.5.0 documentation
Provides train/test indices to split data in train/test sets. This..." ) ... print ( f " Test: index= { test_index } " ) Fold 0: Train:...scikit-learn.org/stable/modules/generated/sklearn.model_selection.StratifiedKFold.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 -
validation_curve — scikit-learn 1.5.0 documenta...
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 -
RBF SVM parameters — scikit-learn 1.5.0 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 -
Importance of Feature Scaling — scikit-learn 1....
X_test , y_train , y_test = train_test_split ( X ,...( X_test ) y_pred_scaled = scaled_clf . predict ( X_test ) y_proba...scikit-learn.org/stable/auto_examples/preprocessing/plot_scaling_importance.html -
Comparing random forests and the multi-output m...
X_test , y_train , y_test = train_test_split ( X ,...predict ( X_test ) y_rf = regr_rf . predict ( X_test ) # Plot the...scikit-learn.org/stable/auto_examples/ensemble/plot_random_forest_regression_multioutput.html -
Early stopping of Stochastic Gradient Descent —...
y_train ) test_score = estimator . score ( X_test , y_test ) return...X_train , X_test , y_train , y_test = train_test_split ( X ,...scikit-learn.org/stable/auto_examples/linear_model/plot_sgd_early_stopping.html -
Varying regularization in Multi-layer Perceptro...
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/neural_networks/plot_mlp_alpha.html -
learning_curve — scikit-learn 1.5.0 documentation
( f "The average test accuracy is { cv_test_scores . mean ()...cross-validated training and test scores for different training...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html