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TimeSeriesSplit — scikit-learn 1.5.0 documentation
print ( f "Fold { i } :" ) ... print ( f " Train: index=...)): ... print ( f "Fold { i } :" ) ... print ( f " Train: index=...scikit-learn.org/stable/modules/generated/sklearn.model_selection.TimeSeriesSplit.html -
plot_release_highlights_1_5_0.ipynb
5\")\nprint(f\"Custom score: {custom_score(y_test,...scoring=custom_scorer\n).fit(X, y)\n\nprint(f\"Tuned decision threshold: {t...scikit-learn.org/stable/_downloads/ae2d0a2ad69c5df5b93e5ea5c87d56b2/plot_release_highlights_1_5_0... -
bootstrap.js
nce[f]-d[f]-i.rects.popper[p],y=d[f]-i.rects.reference[f],w=...,k,M)),F=y===f?j:I,B={top:$.top-F.top+C.top,bottom:F.bottom-...scikit-learn.org/stable/_static/scripts/bootstrap.js -
plot_release_highlights_1_5_0.py
5") print(f"Custom score: {custom_score(y_test,...scoring=custom_scorer ).fit(X, y) print(f"Tuned decision threshold: {tu...scikit-learn.org/stable/_downloads/ba0cfc16d7953e1c2c6912b6beca1e91/plot_release_highlights_1_5_0.py -
ShuffleSplit — scikit-learn 1.5.0 documentation
print ( f "Fold { i } :" ) ... print ( f " Train: index=...)): ... print ( f "Fold { i } :" ) ... print ( f " Train: index=...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ShuffleSplit.html -
permutation_test_score — scikit-learn 1.5.0 doc...
) >>> print ( f "Original Score: { score : .3f...Score: 0.810 >>> print ( ... f "Permutation Scores: { permutation_scores...scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
learning_curve — scikit-learn 1.5.0 documentation
print ( f " { train_size } samples were...train the model" ) ... print ( f "The average train accuracy is...scikit-learn.org/stable/modules/generated/sklearn.model_selection.learning_curve.html -
How to easily add application monitoring in Kub...
using kubectl: kubectl apply - f webhook - test.yaml The result...monitored: $ kubectl delete -f webhook-test.yaml pod "webhook-test"...www.elastic.co/observability-labs/blog/application-monitoring-kubernetes-pods -
Feature Selection — scikit-learn 1.5.0 document...
Comparison of F-test and mutual information Comparison of F-test and...scikit-learn.org/stable/auto_examples/feature_selection/index.html -
auto_examples_python.zip
randn(1000) f_test, _ = f_regression(X, y) f_test /= np.max(f_test)...with f_0, and negatively correlated with f_1 y = 5 * f_0 + np.sin(10...scikit-learn.org/stable/_downloads/07fcc19ba03226cd3d83d4e40ec44385/auto_examples_python.zip