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Combine predictors using stacking — scikit-lear...
{ key : ( f " { np . abs ( np . mean ( scores [ f 'test_ { value...])) : .2f } +- " f " { np . std ( scores [ f 'test_ { value }...scikit-learn.org/stable/auto_examples/ensemble/plot_stack_predictors.html -
Evaluation of outlier detection estimators — sc...
toc = perf_counter () print ( f "Duration for { model_name } :...shape [ 0 ], y . mean () print ( f " { n_samples } datapoints with...scikit-learn.org/stable/auto_examples/miscellaneous/plot_outlier_detection_bench.html -
Slashdot: News for nerds, stuff that matters
"[I]f you're a startup company that...slashdot.org/ -
Partial Dependence and Individual Conditional E...
print ( f "done in { time () - tic : .3f } s" ) print ( f "Test...print ( f "done in { time () - tic : .3f } s" ) print ( f "Test...scikit-learn.org/stable/auto_examples/inspection/plot_partial_dependence.html -
Time-related feature engineering — scikit-learn...
cv_results [ "estimator" ]] print ( f "Mean model. { model_prop } =..."test_neg_root_mean_squared_error" ] print ( f "Mean Absolute Error: { mae ....scikit-learn.org/stable/auto_examples/applications/plot_cyclical_feature_engineering.html -
Common pitfalls in the interpretation of coeffi...
= { "MedAE on training set" : f " { mae_train : .2f } $/hour"...$/hour" , "MedAE on testing set" : f " { mae_test : .2f } $/hour" ,...scikit-learn.org/stable/auto_examples/inspection/plot_linear_model_coefficient_interpretation.html -
Contributing — scikit-learn 1.4.2 documentation
control this ratio with the -f flag. To run the full benchmark...scikit-learn.org/stable/developers/contributing.html -
API Reference — scikit-learn 1.4.2 documentation
f_classif (X, y) Compute the ANOVA F-value for the...score, also known as balanced F-score or F-measure. metrics.fbeta_score...scikit-learn.org/stable/modules/classes.html -
Lagged features for time series forecasting — s...
print ( f "CV MAPE: { cv_mape_scores . mean...scores [ metric ] . append ( f " { value . mean () : .2f } ±...scikit-learn.org/stable/auto_examples/applications/plot_time_series_lagged_features.html -
Probability Calibration for 3-class classificat...
print ( "Log-loss of" ) print ( f " * uncalibrated classifier: {...{ score : .3f } " ) print ( f " * calibrated classifier: { cal_score...scikit-learn.org/stable/auto_examples/calibration/plot_calibration_multiclass.html