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styles.css
mr-2{margin-right:calc(var(--spacing)*2)}.mb-2{margin-b...spacing)*2)}.ml-2{margin-left:calc(var(--spacing)*2)}.ml-4{m...www.elastic.co/docs/_static/styles.css -
plot_classifier_comparison.rst.txt
make_classification( n_features=2, n_redundant=0, n_informative=2, random_state=1,...rng = np.random.RandomState(2) X += 2 * rng.uniform(size=X.shape)...scikit-learn.org/stable/_sources/auto_examples/classification/plot_classifier_comparison.rst.txt -
plot_multi_metric_evaluation.zip
range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2, re...ax.plot( [ X_axis[best_index], ] * 2, [0, best_score], linestyle="-.",...scikit-learn.org/stable/_downloads/535778bfbc9b4881da3e662bc2ea8484/plot_multi_metric_evaluation.zip -
Spring - IBM Developer
of 2 pages 1 2 of 2 pages Previous page Next...Java applications for CICS, Part 2: Security Explore three different...developer.ibm.com/components/spring -
Hybrid Cloud - Articles - IBM Developer
of 2 pages 1 2 of 2 pages Previous page Next...use case we introduced in Part 2. Edge computing Article Threat...developer.ibm.com/depmodels/hybrid-cloud/articles/ -
plot_multi_metric_evaluation.py
range(2, 403, 20)}, scoring=scoring, refit="AUC", n_jobs=2, re...ax.plot( [ X_axis[best_index], ] * 2, [0, best_score], linestyle="-.",...scikit-learn.org/stable/_downloads/dedbcc9464f3269f4f012f4bfc7d16da/plot_multi_metric_evaluation.py -
cross_validation.rst.txt
2, 2, 2, 2] >>> groups = [1, 1, 2, 2, 3, 3, 3] >>>...test)) [2 3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3]...scikit-learn.org/stable/_sources/modules/cross_validation.rst.txt -
Analytics counts API | App Search documentation...
{ "clicks": 2, "queries": 44, "from": "2018..."2018-07-07T00:00:00+00:00" }, { "clicks": 2, "queries": 146, "from": "201...www.elastic.co/guide/en/app-search/8.19/counts.html -
grid_search.rst.txt
+--------- | 3 * 2 = 6 | 70 // 2 = 35 | +--------- | 6 * 2 = 12 | 35...35 // 2 = 17 | +--------- | 12 * 2 = 24 | 17 // 2 = 8 | +---------...scikit-learn.org/stable/_sources/modules/grid_search.rst.txt -
model_evaluation.rst.txt
labeling1 = [2, 0, 2, 2, 0, 1] >>> labeling2 = [0, 0, 2, 2, 0, 2] >>>...y_true = [2, 0, 2, 2, 0, 1] >>> y_pred = [0, 0, 2, 2, 0, 2] >>> ...scikit-learn.org/stable/_sources/modules/model_evaluation.rst.txt