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classification_report — scikit-learn 1.5.0 docu...
structure: { 'label 1' : { 'precision' : 0.5 , 'recall' : 1.0 , 'f1-score'...target_names = [ 'class 0' , 'class 1' , 'class 2' ] >>> print (...scikit-learn.org/stable/modules/generated/sklearn.metrics.classification_report.html -
IsotonicRegression — scikit-learn 1.5.0 documen...
estimate’s sign. out_of_bounds {‘nan’, ‘clip’, ‘raise’}, default=’nan’...prediction. ‘nan’, predictions will be NaN. ‘clip’, predictions...scikit-learn.org/stable/modules/generated/sklearn.isotonic.IsotonicRegression.html -
The Golden Underpants of Genghis Khan | MetaFilter
static_server = 'dha92jo6cen2v.cloudfront.net', icons_url = '//' + static_server...static_server + '/images/icons.svg'; var xhr = new XMLHttpRequest();...www.metafilter.com/203812/The-Golden-Underpants-of-Genghis-Khan -
Leadership Team | Elastic
easily engage with us — it’s all in a day’s work for us. As CFO and...for those who missed the 'Men at Work' reference), but have been...www.elastic.co/about/leadership -
Version 0.18 — scikit-learn 1.5.0 documentation
options are available: 'none', 'LU' and 'QR' . #5141 by Giorgio Patrini...available at the key 'mean_time' and 'std_time' respectively. Changelog...scikit-learn.org/stable/whats_new/v0.18.html -
2.8. Density Estimation — scikit-learn 1.5.0 do...
KernelDensity ( kernel = 'gaussian' , bandwidth = 0.2 ) . fit...Here we have used kernel='gaussian' , as seen above. Mathematically,...scikit-learn.org/stable/modules/density.html -
GradientBoostingClassifier — scikit-learn 1.5.0...
: loss {‘log_loss’, ‘exponential’}, default=’log_loss’ The loss...criterion {‘friedman_mse’, ‘squared_error’}, default=’friedman_mse’...scikit-learn.org/stable/modules/generated/sklearn.ensemble.GradientBoostingClassifier.html -
Contributing — scikit-learn 1.5.0 documentation
brackets: input: {'log', 'squared', 'multinomial'} 1D or 2D data...algorithm. some_param : {'hello', 'goodbye'}, bool or int, default=True...scikit-learn.org/stable/developers/contributing.html -
Version 0.21 — scikit-learn 1.5.0 documentation
init = 'nndsvd' , init = 'nndsvda' , and init = 'nndsvdar' are allowed...depending on the 'multiclass' and 'penalty' parameters (regression...scikit-learn.org/stable/whats_new/v0.21.html -
QuantileRegressor — scikit-learn 1.5.0 document...
solver {‘highs-ds’, ‘highs-ipm’, ‘highs’, ‘interior-point’, ‘revised...‘revised simplex’}, default=’highs’ Method used by scipy.optimize.linprog...scikit-learn.org/stable/modules/generated/sklearn.linear_model.QuantileRegressor.html