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sklearn.discriminant_analysis.LinearDiscriminan...
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... -
Supervised learning: predicting an output varia...
c_ [ .5 , 1 ] . T >>> y = [ .5 , 1 ] >>> test = np . c_ [...is set by the C parameter: a small value for C means the margin...scikit-learn.org/stable/tutorial/statistical_inference/supervised_learning.html -
4.1. Partial Dependence and Individual Conditio...
\mathbb{E}_{X_C}\left[ f(x_S, X_C) \right]\\ &= \int f(x_S, x_C) p(x_C)...p(x_C) dx_C,\end{split}\] where \(f(x_S, x_C)\) is the response function...scikit-learn.org/stable/modules/partial_dependence.html -
sklearn.neighbors.NearestCentroid — scikit-lear...
The predicted class C for each sample in X is returned....n_features) Test samples. Returns : C ndarray of shape (n_samples,)...scikit-learn.org/stable/modules/generated/sklearn.neighbors.NearestCentroid.html -
sklearn.decomposition.IncrementalPCA — scikit-l...
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 -
sklearn.linear_model.HuberRegressor — scikit-le...
the samples where |(y - Xw - c) / sigma| < epsilon and the absolute...the samples where |(y - Xw - c) / sigma| > epsilon , where the...scikit-learn.org/stable/modules/generated/sklearn.linear_model.HuberRegressor.html -
sklearn.svm.LinearSVC — scikit-learn 1.4.2 docu...
the parameter C of class i to class_weight[i]*C for SVC. If not...dual = 'warn' , tol = 0.0001 , C = 1.0 , multi_class = 'ovr' ,...scikit-learn.org/stable/modules/generated/sklearn.svm.LinearSVC.html -
sklearn.utils.Bunch — scikit-learn 1.4.2 docume...
c = 6 >>> b [ 'c' ] 6 Methods clear ()...scikit-learn.org/stable/modules/generated/sklearn.utils.Bunch.html -
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 -
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