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sklearn.metrics.hinge_loss — scikit-learn 1.4.2...
scikit-learn.org/stable/modules/generated/sklearn.metrics.hinge_loss.html -
An introduction to machine learning with scikit...
C = 100. ) The clf (for classifier)...digits . target [: - 1 ]) SVC(C=100.0, gamma=0.001) Now you can...scikit-learn.org/stable/tutorial/basic/tutorial.html -
sklearn.svm.OneClassSVM — scikit-learn 1.4.2 do...
Rescale C per sample. Higher weights force...estimator. Notes If X is not a C-ordered contiguous array it is...scikit-learn.org/stable/modules/generated/sklearn.svm.OneClassSVM.html -
sklearn.metrics.make_scorer — scikit-learn 1.4....
scikit-learn.org/stable/modules/generated/sklearn.metrics.make_scorer.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 -
linear_model.rst.txt
``C`` is given by ``alpha = 1 / C`` or ``alpha =...:func:`sklearn.svm.l1_min_c` allows to calculate the lower bound for C in order...scikit-learn.org/stable/_sources/modules/linear_model.rst.txt -
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.manifold.TSNE — scikit-learn 1.4.2 docu...
scikit-learn.org/stable/modules/generated/sklearn.manifold.TSNE.html -
How social networks prey on our longing to be k...
www.metafilter.com/203452/How-social-networks-prey-on-our-longing-to-be-known -
3.4. Validation curves: plotting scores to eval...
param_name = "C" , param_range = np . logspace..."linear" ), X , y , param_name = "C" , param_range = np . logspace...scikit-learn.org/stable/modules/learning_curve.html