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Go Agent version 2.x | APM Go Agent Reference [...
Go Agent version 2.x Go Agent version 2.x 2.4.3 - 2023/06/22...stable OTel metrics API #1448 2.4.2 - 2023/05/22 module/apmotel:...www.elastic.co/guide/en/apm/agent/go/current/release-notes-2.x.html -
GMM covariances — scikit-learn 1.5.2 documentation
covariances_ [ n ][: 2 , : 2 ] elif gmm . covariance_type...covariances = gmm . covariances_ [: 2 , : 2 ] elif gmm . covariance_type...scikit-learn.org/stable/auto_examples/mixture/plot_gmm_covariances.html -
partial_dependence — scikit-learn 1.5.2 documen...
2. feature_names array-like of shape...dataframe. Added in version 1.2. response_method {‘auto’, ‘predict_proba’,...scikit-learn.org/stable/modules/generated/sklearn.inspection.partial_dependence.html -
Contributing — scikit-learn 1.5.2 documentation
cd scikit-learn Follow steps 2-6 in Building from source to build...future. Failure to respond within 2 weeks with an activity that moves...scikit-learn.org/stable/developers/contributing.html -
Classifier comparison — scikit-learn 1.5.2 docu...
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state.... random . RandomState ( 2 ) X += 2 * rng . uniform ( size =...scikit-learn.org/stable/auto_examples/classification/plot_classifier_comparison.html -
get_scorer — scikit-learn 1.5.2 documentation
2 ], ( - 1 , 1 )) >>> y = np . array...scikit-learn.org/stable/modules/generated/sklearn.metrics.get_scorer.html -
Feature discretization — scikit-learn 1.5.2 doc...
n_features = 2 , n_redundant = 0 , n_informative = 2 , random_state...GradientBoostingClas: 0.84 SVC: 0.84 dataset 2 --------- LogisticRegression:...scikit-learn.org/stable/auto_examples/preprocessing/plot_discretization_classification.html -
Incremental PCA — scikit-learn 1.5.2 documentation
target n_components = 2 ipca = IncrementalPCA ( n_components...target_name in zip ( colors , [ 0 , 1 , 2 ], iris . target_names ): plt...scikit-learn.org/stable/auto_examples/decomposition/plot_incremental_pca.html -
RFE — scikit-learn 1.5.2 documentation
2, 5]) property classes_ # Classes...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.RFE.html -
1.15. Isotonic regression — scikit-learn 1.5.2 ...
\sum_i w_i (y_i - \hat{y}_i)^2\] subject to \(\hat{y}_i \le \hat{y}_j\)...scikit-learn.org/stable/modules/isotonic.html