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fast_logdet — scikit-learn 1.5.2 documentation
[ 2 , 8 ]]) >>> fast_logdet ( a )...scikit-learn.org/stable/modules/generated/sklearn.utils.extmath.fast_logdet.html -
trustworthiness — scikit-learn 1.5.2 documentation
defined as \[T(k) = 1 - \frac{2}{nk (2n - 3k - 1)} \sum^n_{i=1}...Should be fewer than n_samples / 2 to ensure the trustworthiness...scikit-learn.org/stable/modules/generated/sklearn.manifold.trustworthiness.html -
Installation
the installation for OpenSearch 2.16.0. Install the OpenSearch plugins...rch:opensearch-analysis-fess:2.16.0 $ $OPENSEARCH_HOME/bin/opensearch-plugin...fess.codelibs.org/14.16/install/install.html -
3.1. Cross-validation: evaluating estimator per...
2 , 2 , 2 , 2 ] >>> groups = [ 1 , 1 , 2 , 2 , 3 , 3...)) [2 3] [0 1] [1 3] [0 2] [1 2] [0 3] [0 3] [1 2] [0 2] [1 3]...scikit-learn.org/stable/modules/cross_validation.html -
K-means Clustering — scikit-learn 1.5.2 documen...
add_subplot ( 2 , 2 , idx + 1 , projection = "3d"...truth ax = fig . add_subplot ( 2 , 2 , 4 , projection = "3d" , elev...scikit-learn.org/stable/auto_examples/cluster/plot_cluster_iris.html -
Version 0.15 — scikit-learn 1.5.2 documentation
Marsi 2 csytracy 2 LK 2 Vlad Niculae 2 Laurent Direr 2 Erik Shilts...Liau 2 abhishek thakur 2 James Yu 2 Rohit Sivaprasad 2 Roland...scikit-learn.org/stable/whats_new/v0.15.html -
rbf_kernel — scikit-learn 1.5.2 documentation
y) = exp(-gamma ||x-y||^2) for each pair of rows x in X...scikit-learn.org/stable/modules/generated/sklearn.metrics.pairwise.rbf_kernel.html -
oas — scikit-learn 1.5.2 documentation
formula (23) states that 2/p (p being the number of features)...because for a large p, the value of 2/p is so small that it doesn’t...scikit-learn.org/stable/modules/generated/oas-function.html -
normalize — scikit-learn 1.5.2 documentation
import normalize >>> X = [[ - 2 , 1 , 2 ], [ - 1 , 0 , 1 ]] >>> normalize...independently array([[-0.4, 0.2, 0.4], [-0.5, 0. , 0.5]]) >>>...scikit-learn.org/stable/modules/generated/sklearn.preprocessing.normalize.html -
Plot the decision boundaries of a VotingClassif...
VotingClassifier with weights [2, 1, 2] , which means that the predicted...voting = "soft" , weights = [ 2 , 1 , 2 ], ) clf1 . fit ( X , y )...scikit-learn.org/stable/auto_examples/ensemble/plot_voting_decision_regions.html