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1.4. Support Vector Machines — scikit-learn 1.5...
sets the parameter C of class class_label to C * value . The figure...sets the parameter C for the i-th example to C * sample_weight[i]...scikit-learn.org/stable/modules/svm.html -
Introducing Scalar Quantization in Lucene — Ela...
documents each and segment C C C only 100 100 100 documents....1000 1000 1000 documents and C C C only has 100 100 100 . In the...www.elastic.co/search-labs/blog/scalar-quantization-in-lucene -
IncrementalPCA — scikit-learn 1.5.0 documentation
Recognition and Machine Learning” by C. Bishop, 12.2.1 p. 574 or htt...Computations, Third Edition, G. Holub and C. Van Loan, Chapter 5, section...scikit-learn.org/stable/modules/generated/sklearn.decomposition.IncrementalPCA.html -
permutation_test_score — scikit-learn 1.5.0 doc...
scikit-learn.org/stable/modules/generated/sklearn.model_selection.permutation_test_score.html -
LinearDiscriminantAnalysis — scikit-learn 1.5.0...
corresponds to sum_k prior_k * C_k where C_k is the covariance matrix...the samples in class k . The C_k are estimated using the (potentially...scikit-learn.org/stable/modules/generated/sklearn.discriminant_analysis.LinearDiscriminantAnalysi... -
LogisticRegression — scikit-learn 1.5.0 documen...
C = 1.0 , fit_intercept = True ,...both dense and sparse input. Use C-ordered arrays or CSR matrices...scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html -
GitHub - codelibs/fess-testdata: Test Data Repo...
github.com/codelibs/fess-testdata -
BisectingKMeans — scikit-learn 1.5.0 documentation
that if the original data is not C-contiguous, a copy will be made...The data will be converted to C ordering, which will cause a memory...scikit-learn.org/stable/modules/generated/sklearn.cluster.BisectingKMeans.html -
DecisionBoundaryDisplay — scikit-learn 1.5.0 do...
c = iris . target , edgecolor =...scatter ( X [:, 0 ], X [:, 1 ], c = iris . target , edgecolor =...scikit-learn.org/stable/modules/generated/sklearn.inspection.DecisionBoundaryDisplay.html -
KMeans — scikit-learn 1.5.0 documentation
that if the original data is not C-contiguous, a copy will be made...the data will be converted to C ordering, which will cause a memory...scikit-learn.org/stable/modules/generated/sklearn.cluster.KMeans.html