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estimator_checks_generator — scikit-learn 1.6.0...
Added in version 1.6. Parameters : estimator estimator...scikit-learn.org/stable/modules/generated/sklearn.utils.estimator_checks.estimator_checks_generat... -
FrozenEstimator — scikit-learn 1.6.0 documentation
scikit-learn 1.6 Release Highlights for scikit-learn 1.6 Probability...scikit-learn.org/stable/modules/generated/sklearn.frozen.FrozenEstimator.html -
Configuration | APM Java Agent Reference [1.x] ...
recording ( [ 1.15.0 ] Added in 1.15.0. ) enabled ( [ 1.18.0 ] Added...Added in 1.18.0. ) instrument ( [ 1.0.0 ] Added in 1.0.0. Changing...www.elastic.co/guide/en/apm/agent/java/current/configuration.html -
3.5. Validation curves: plotting scores to eval...
array([[1. , 0.93..., 1. , 1. , 0.96...], [1. , 0.96..., 1. , 1....0.96..., 0.93...], [1.... , 0.93..., 1.... , 1.... , 0.9... ]])...scikit-learn.org/stable/modules/learning_curve.html -
inplace_swap_column — scikit-learn 1.6.0 docume...
1 ) >>> csr . todense () matrix([[0,...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs.inplace_swap_column.html -
Vector Quantization Example — scikit-learn 1.6....
bin_edges [: - 1 ] + ( bin_edges [ 1 :] - bin_edges [: - 1 ]) / 2 bin_center...bin_edges [: - 1 ] + ( bin_edges [ 1 :] - bin_edges [: - 1 ]) / 2 bin_center...scikit-learn.org/stable/auto_examples/cluster/plot_face_compress.html -
How to optimize for speed — scikit-learn 1.7.de...
py : 18 ( _pos ) 1 0.053 0.053 1.681 1.681 nmf . py : 352 (...: 337 ( __init__ ) 1 0.000 0.000 1.681 1.681 nmf . py : 461 (...scikit-learn.org/dev/developers/performance.html -
make_friedman2 — scikit-learn 1.6.0 documentation
1 ] <= 560 * pi , 0 <= X [:, 2 ] <= 1 , 1 <= X [:, 3...** 2 + ( X [:, 1 ] * X [:, 2 ] - 1 / ( X [:, 1 ] * X [:, 3 ]))...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_friedman2.html -
contingency_matrix — scikit-learn 1.6.0 documen...
labels_pred ) array([[1, 1, 0], [0, 1, 1], [1, 0, 1]]) On this page..., 0 , 1 , 1 , 2 , 2 ] >>> labels_pred = [ 1 , 0 , 2 , 1 , 0 ,...scikit-learn.org/stable/modules/generated/sklearn.metrics.cluster.contingency_matrix.html -
cosine_distances — scikit-learn 1.6.0 documenta...
[ 1 , 1 , 1 ]] >>> Y = [[ 1 , 0 , 0 ], [ 1 , 1 , 0 ]] >>>...cosine_distances ( X , Y ) array([[1. , 1. ], [0.42..., 0.18...]]) On...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.cosine_distances.html