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AbstractMessageEndpointFactory (Spring Framewor...
base implementation of the JCA 1.7 MessageEndpointFacto interface,... xaResource) The standard JCA 1.5 version of createEndpoint ....docs.spring.io/spring-framework/docs/current/javadoc-api/org/springframework/jca/endpoint/Abstrac... -
SelfTrainingClassifier — scikit-learn 1.8...
Added in version 1.6: estimator was added to replace...criterion='threshold' . Should be in [0, 1). When using the 'threshold' criterion,...scikit-learn.org/stable/modules/generated/sklearn.semi_supervised.SelfTrainingClassifier.html -
ConfusionMatrixDisplay — scikit-learn 1.8...
scikit-learn 1.5 Release Highlights for scikit-learn 1.5 Label Propagation...are set from 0 to n_classes - 1 . Attributes : im_ matplotlib...scikit-learn.org/stable/modules/generated/sklearn.metrics.ConfusionMatrixDisplay.html -
Version 0.24 — scikit-learn 1.8.0 documen...
deprecated and will be removed in 1.1 (renaming of 0.26). #17864 by...grid_scores_ will be removed in version 1.1 (renaming of 0.26). #16392 by...scikit-learn.org/stable/whats_new/v0.24.html -
LarsCV — scikit-learn 1.8.0 documentation
means 1 unless in a joblib.parallel_backend context. -1 means...all strings. Added in version 1.0. See also lars_path Compute...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LarsCV.html -
as_float_array — scikit-learn 1.8.0 docum...
Added in version 1.6: force_all_finite was renamed...array = np . array ([ 0 , 0 , 1 , 2 , 2 ], dtype = np . int64...scikit-learn.org/stable/modules/generated/sklearn.utils.as_float_array.html -
1.17. Neural network models (supervised) —...
[ 1. , 1. ]] >>> y = [[ 0 , 1 ], [ 1 , 1 ]] >>>...0. , 0. ], [ 1. , 1. ]] >>> y = [ 0 , 1 ] >>>...scikit-learn.org/stable/modules/neural_networks_supervised.html -
compute_sample_weight — scikit-learn 1.8....
[{0: 1, 1: 1}, {0: 1, 1: 5}, {0: 1, 1: 1}, {0: 1, 1: 1}] instead...instead of [{1:1}, {2:5}, {3:1}, {4:1}] . The "balanced"...scikit-learn.org/stable/modules/generated/sklearn.utils.class_weight.compute_sample_weight.html -
Release Highlights for scikit-learn 1.6 —...
1 , 6 , np . nan ]) . reshape ( - 1 , 1 ) y = [ 0 ,..., 0 , 1 , 1 ] forest = ExtraTreesClassifier ( random_state =...scikit-learn.org/stable/auto_examples/release_highlights/plot_release_highlights_1_6_0.html -
LocalOutlierFactor — scikit-learn 1.8.0 d...
() array([[1., 0., 1.], [0., 1., 1.], [1., 0., 1.]]) predict...fit_predict ( X ) array([ 1, 1, -1, 1]) >>> clf . neg...scikit-learn.org/stable/modules/generated/sklearn.neighbors.LocalOutlierFactor.html