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Post-tuning the decision threshold for cost-sen...
the business metric: print ( f "Business defined metric:...( X_train , y_train ) print ( f " { tuned_model . best_threshold_...scikit-learn.org/stable/auto_examples/model_selection/plot_cost_sensitive_learning.html -
RandomTreesEmbedding — scikit-learn 1.8.0...
F. and Triggs, B. and Jurie, F. “Fast discriminative...scikit-learn.org/stable/modules/generated/sklearn.ensemble.RandomTreesEmbedding.html -
Univariate Feature Selection — scikit-lea...
Univariate feature selection with F-test for feature scoring. We use...scikit-learn.org/stable/auto_examples/feature_selection/plot_feature_selection.html -
check_array — scikit-learn 1.7.2 document...
order {‘F’, ‘C’} or None, default=None Whether...scikit-learn.org/stable/modules/generated/sklearn.utils.check_array.html -
IsolationForest — scikit-learn 1.8.0 docu...
References [ 1 ] F. T. Liu, K. M. Ting and Z. -H....(ICDM), 2008, pp. 413-422. [ 2 ] F. T. Liu, K. M. Ting and Z. -H....scikit-learn.org/stable/modules/generated/sklearn.ensemble.IsolationForest.html -
Early stopping in Gradient Boosting — sci...
f "Estimators: { n_estimators...scikit-learn.org/stable/auto_examples/ensemble/plot_gradient_boosting_early_stopping.html -
Poisson regression and non-normal loss — ...
non-positive predictions " f " for { n_masked } samples...y_true_bin , y_pred_bin print ( f "Actual number of claims:...scikit-learn.org/stable/auto_examples/linear_model/plot_poisson_regression_non_normal_loss.html -
plot_kmeans_digits.ipynb
size\n\nprint(f\"# digits: {n_digits}; # samples:...scikit-learn.org/stable/_downloads/6bf322ce1724c13e6e0f8f719ebd253c/plot_kmeans_digits.ipynb -
7.2. Feature extraction — scikit-learn 1....
\xff\xfe A \x00 u \x00 f \x00 \x00 F \x00 l \x00\xfc\x00 g \x00...\x00 i \x00 c \x00 h \x00 \x00 f \x00 o \x00 r \x00 t \x00 "...scikit-learn.org/stable/modules/feature_extraction.html -
Open Source Full-text Search Server - Fess Deve...
GitHub Docker JavaDoc XRef I/F Doc Roadmap Changes Issue Tracking...fess.codelibs.org/dev/getting-started.html