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Release notes | APM Go Agent Reference [2.x] | ...
Go Agent version 2.x Go Agent version 1.x Go Agent...www.elastic.co/guide/en/apm/agent/go/current/release-notes.html -
3.3. Tuning the decision threshold for class pr...
DecisionTreeClassifi ( max_depth = 2 , random_state = 0 ) . fit ( X...model . best_score_ 0.86... 3.3.1.2. Important notes regarding the...scikit-learn.org/stable/modules/classification_threshold.html -
Classification of text documents using sparse f...
(training set) 1353 documents - 2.87MB (test set) 4 categories vectorize...= RidgeClassifier ( tol = 1e-2 , solver = "sparse_cg" ) clf ....scikit-learn.org/stable/auto_examples/text/plot_document_classification_20newsgroups.html -
Plot the decision surface of decision trees tra...
2 ], [ 0 , 3 ], [ 1 , 2 ], [ 1 , 3 ], [ 2 , 3 ]]): #...boundary ax = plt . subplot ( 2 , 3 , pairidx + 1 ) plt . tight_layout...scikit-learn.org/stable/auto_examples/tree/plot_iris_dtc.html -
11. Dispatching — scikit-learn 1.5.2 documentation
2. Support for Array API -compatible...scikit-learn.org/stable/dispatching.html -
config_context — scikit-learn 1.5.2 documentation
2. transform_output str, default=None...unchanged Added in version 1.2. Added in version 1.4: "polars"...scikit-learn.org/stable/modules/generated/sklearn.config_context.html -
ndcg_score — scikit-learn 1.5.2 documentation
2 , .3 , 4 , 70 ]]) >>> ndcg_score...predictions: (10 / 10 + 5 / 10) / 2 = .75 >>> ndcg_score ( true_relevance...scikit-learn.org/stable/modules/generated/sklearn.metrics.ndcg_score.html -
1.11. Ensembles: Gradient boosting, random fore...
make_hastie_10_2 >>> X , y = make_hastie_10_2 ( random_state...x_1' \implies F(x_1, x_2) \leq F(x_1', x_2)\] a monotonic decrease...scikit-learn.org/stable/modules/ensemble.html -
load_iris — scikit-learn 1.5.2 documentation
2 Release Highlights for scikit-learn 1.2 Release Highlights...scikit-learn.org/stable/modules/generated/sklearn.datasets.load_iris.html -
Release Highlights for scikit-learn 0.23 — scik...
2. From 1.2, use # PartialDependenceDis...lam = np . exp ( X [:, 5 ]) / 2 ) X_train , X_test , y_train ,...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_0_23_0.html