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DistanceMetric — scikit-learn 1.8.0 documentation
get_metric ( 'euclidean' ) >>> X = [[ 1 , 2 ], [ 3 , 4 ], [ 5 , 6 ]] >>>...10.63...] [5.65..., 8.48...] [1.41..., 4.24...]]) Available Metrics...scikit-learn.org/stable/modules/generated/sklearn.metrics.DistanceMetric.html -
RationalQuadratic — scikit-learn 1.8.0 document...
RationalQuadratic ( length_scale = 1.0 , alpha = 1.0 , length_scale_bounds...RationalQuadratic ( length_scale = 1.0 , alpha = 1.5 ) >>> gpc = GaussianProcessClass...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.kernels.RationalQuadratic.html -
Version 0.22 — scikit-learn 1.8.0 documentation
is given for both n_jobs=1 or n_jobs>1 both with shared memory...results between n_jobs=1 and n_jobs>1 due to the handling of...scikit-learn.org/stable/whats_new/v0.22.html -
make_biclusters — scikit-learn 1.8.0 documentation
shape[1]) The indicators for cluster membership...for biclustering. References [ 1 ] Dhillon, I. S. (2001, August)....scikit-learn.org/stable/modules/generated/sklearn.datasets.make_biclusters.html -
make_checkerboard — scikit-learn 1.8.0 document...
shape[1]) The indicators for cluster membership...for biclustering. References [ 1 ] Kluger, Y., Basri, R., Chang,...scikit-learn.org/stable/modules/generated/sklearn.datasets.make_checkerboard.html -
inplace_csr_row_normalize_l2 — scikit-lea...
1 , 2 , 3 ]) >>> data = np . array ([ 1.0 , 2.0...0. ], [0. , 0. , 1. , 0. ], [0. , 0. , 0. , 1. ]]) On this page...scikit-learn.org/stable/modules/generated/sklearn.utils.sparsefuncs_fast.inplace_csr_row_normaliz... -
unique_labels — scikit-learn 1.8.0 docume...
unique_labels ([ 1 , 2 , 3 , 4 ], [ 2 , 2 , 3 , 4 ]) array([1, 2, 3, 4])...unique_labels ([ 1 , 2 , 10 ], [ 5 , 11 ]) array([ 1, 2, 5, 10, 11])...scikit-learn.org/stable/modules/generated/sklearn.utils.multiclass.unique_labels.html -
Visualizing the probabilistic predictions of a ...
uniform ( low =- 1 , high = 1 , size = ( n_samples , 2...> 0 , xor [ "Feature #1" ] + noise [:, 1 ] > 0 ) X = xor [ feature_names...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html -
DummyRegressor — scikit-learn 1.8.0 documentation
1.0], default=None The quantile...while 0.0 to the minimum and 1.0 to the maximum. Attributes :...scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyRegressor.html -
quantile_transform — scikit-learn 1.8.0 documen...
otherwise (if 1) transform each sample. n_quantiles...subsample=None . Added in version 1.5: The option None to disable...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.quantile_transform.html