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sklearn.linear_model.LogisticRegression — sciki...
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 -
sklearn.cluster.BisectingKMeans — scikit-learn ...
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 -
sklearn.metrics.hinge_loss — scikit-learn 1.4.2...
Multiclass Hinge Loss Models by Robert C. Moore, John DeNero . Examples...scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
sklearn.cluster.KMeans — scikit-learn 1.4.2 doc...
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 -
sklearn.model_selection.ValidationCurveDisplay ...
param_range = "C" , np . logspace ( - 8 , 3 , 10...>>> param_name , param_range = "C" , np . logspace ( - 8 , 3 , 10...scikit-learn.org/stable/modules/generated/sklearn.model_selection.ValidationCurveDisplay.html -
neighbors.rst.txt
:math:`C`, then we know that points :math:`A` and :math:`C` are...p_{i}=\sum\limits_{j \in C_i}{p_{i j}} where :math:`C_i` is the set of...scikit-learn.org/stable/_sources/modules/neighbors.rst.txt -
sklearn.model_selection.validation_curve — scik...
param_range = "C" , np . logspace ( - 8 , 3 , 10...scikit-learn.org/stable/modules/generated/sklearn.model_selection.validation_curve.html -
sklearn.gaussian_process.GaussianProcessClassif...
Returns : C ndarray of shape (n_samples,)...for classification. Returns : C array-like of shape (n_samples,...scikit-learn.org/stable/modules/generated/sklearn.gaussian_process.GaussianProcessClassifier.html -
sklearn.metrics.make_scorer — scikit-learn 1.4....
param_grid = { 'C' : [ 1 , 10 ]}, ... scoring =...scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.html -
decomposition.rst.txt
C. Sorensen, and C. Yang, (1998) |details-end|....org/Boutsidis_PRE_08.pdf>`_ C. Boutsidis, E. Gallopoulos, 2008...scikit-learn.org/stable/_sources/modules/decomposition.rst.txt