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DistanceMetric — scikit-learn 1.7.0 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 -
Concatenating multiple feature extraction metho...
features__univ_select__k=1, svm__C=0.1 [CV 1/5; 1/18] END features_...nts=1, features__univ_select__k=1, svm__C=0.1;, score=1.000 total...scikit-learn.org/stable/auto_examples/compose/plot_feature_union.html -
Compare cross decomposition methods — scikit-le...
[[ 1. 0.45 -0.04 0. ] [ 0.45 1. -0.1 -0.02] [-0.04 -0.1 1. 0.42]...-0.02 0.42 1. ]] Corr(Y) [[ 1. 0.48 -0.12 -0.05] [ 0.48 1. 0.07 0.04]...scikit-learn.org/stable/auto_examples/cross_decomposition/plot_compare_cross_decomposition.html -
SelectorMixin — scikit-learn 1.7.0 documentation
shape [ 1 ] ... return self ... def _get_support_mask..."x1", ..., "x(n_features_in_ - 1)"] . If input_features is an array-like,...scikit-learn.org/stable/modules/generated/sklearn.feature_selection.SelectorMixin.html -
delayed — scikit-learn 1.7.0 documentation
Changed in version 1.3: delayed was moved from sklearn.utils.fixes...sklearn.utils.parallel in scikit-learn 1.3. Parameters : function callable...scikit-learn.org/stable/modules/generated/sklearn.utils.parallel.delayed.html -
7. Dataset transformations — scikit-learn 1.7.0...
1. Pipelines and composite estimators 7.1.1. Pipeline:...estimators 7.1.2. Transforming target in regression 7.1.3. FeatureUnion:...scikit-learn.org/stable/data_transforms.html -
Version 0.13 — scikit-learn 1.7.0 documentation
Jackman 1 Subhodeep Moitra 1 bob 1 dengemann 1 emanuele 1 x006 On...Coelho 1 Miroslav Batchkarov 1 Pavel 1 Sebastian Berg 1 Shaun...scikit-learn.org/stable/whats_new/v0.13.html -
Demonstration of k-means assumptions — scikit-l...
axs [ 1 , 0 ] . set_title ( "Unequal Variance" ) axs [ 1 , 1 ] ....X_filtered [:, 1 ], c = y_filtered ) axs [ 1 , 1 ] . set_title...scikit-learn.org/stable/auto_examples/cluster/plot_kmeans_assumptions.html -
non_negative_factorization — scikit-learn 1.7.0...
array ([[ 1 , 1 ], [ 2 , 1 ], [ 3 , 1.2 ], [ 4 , 1 ], [ 5 , 0.8...n\_samples * ||vec(H)||_1\\ &+ 0.5 * alpha\_W * (1 - l1\_ratio) * n\_features...scikit-learn.org/stable/modules/generated/sklearn.decomposition.non_negative_factorization.html -
Recognizing hand-written digits — scikit-learn ...
0 0 0 1 0 0 0 0 0] [ 0 88 1 0 0 0 0 0 1 1] [ 0 0 85 1 0 0 0 0...0 0 88 1 0 0 2] [ 0 1 0 0 0 0 90 0 0 0] [ 0 0 0 0 0 1 0 88 0...scikit-learn.org/stable/auto_examples/classification/plot_digits_classification.html