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sklearn.manifold — scikit-learn 1.8.0 documenta...
Data embedding techniques. User guide. See the Manifold learning section for further details.scikit-learn.org/stable/api/sklearn.manifold.html -
sklearn.covariance — scikit-learn 1.8.0 documen...
Methods and algorithms to robustly estimate covariance. They estimate the covariance of features at given sets of points, as well as the precision matrix defined as the inverse of the covariance. C...scikit-learn.org/stable/api/sklearn.covariance.html -
sklearn.ensemble — scikit-learn 1.8.0 documenta...
Ensemble-based methods for classification, regression and anomaly detection. User guide. See the Ensembles: Gradient boosting, random forests, bagging, voting, stacking section for further details.scikit-learn.org/stable/api/sklearn.ensemble.html -
sklearn.multioutput — scikit-learn 1.8.0 docume...
Multioutput regression and classification. The estimators provided in this module are meta-estimators: they require a base estimator to be provided in their constructor. The meta-estimator extends ...scikit-learn.org/stable/api/sklearn.multioutput.html -
sklearn.kernel_ridge — scikit-learn 1.8.0 docum...
Kernel ridge regression. User guide. See the Kernel ridge regression section for further details.scikit-learn.org/stable/api/sklearn.kernel_ridge.html -
sklearn.pipeline — scikit-learn 1.8.0 documenta...
Utilities to build a composite estimator as a chain of transforms and estimators. User guide. See the Pipelines and composite estimators section for further details.scikit-learn.org/stable/api/sklearn.pipeline.html -
Comparing Nearest Neighbors with and without Ne...
StandardScaler n_neighbors = 1 dataset = datasets . load_iris.... scatter ( X [:, 0 ], X [:, 1 ], c = y , cmap = cmap_bold ,...scikit-learn.org/stable/auto_examples/neighbors/plot_nca_classification.html -
Precision-Recall — scikit-learn 1.8.0 documenta...
versionchanged:: 1.3 The `"auto"` option is added in version 1.3 and will...intercept term: `[x_1, ..., x_n, 1]`, where 1 corresponds to the intercept....scikit-learn.org/stable/auto_examples/model_selection/plot_precision_recall.html -
MockitoBean (Spring Framework 7.0.1 API)
declaration: package: org.springframework.test.context.bean.override.mockito, annotation type: MockitoBeandocs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/test/context/bean/ov... -
BrokerAvailabilityEvent (Spring Framework 7.0.1...
declaration: package: org.springframework.messaging.simp.broker, class: BrokerAvailabilityEventdocs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/messaging/simp/broke...