sklearn.svm.libsvm.cross_validation
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sklearn.svm.libsvm.cross_validation() -
Binding of the cross-validation routine (low-level routine)
| Parameters: |
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X : array-like, dtype=float, size=[n_samples, n_features] -
Y : array, dtype=float, size=[n_samples] -
target vector -
svm_type : {0, 1, 2, 3, 4} -
Type of SVM: C SVC, nu SVC, one class, epsilon SVR, nu SVR -
kernel : {‘linear’, ‘rbf’, ‘poly’, ‘sigmoid’, ‘precomputed’} -
Kernel to use in the model: linear, polynomial, RBF, sigmoid or precomputed. -
degree : int -
Degree of the polynomial kernel (only relevant if kernel is set to polynomial) -
gamma : float -
Gamma parameter in rbf, poly and sigmoid kernels. Ignored by other kernels. 0.1 by default. -
coef0 : float -
Independent parameter in poly/sigmoid kernel. -
tol : float -
Stopping criteria. -
C : float -
C parameter in C-Support Vector Classification -
nu : float -
cache_size : float -
random_seed : int, optional -
Seed for the random number generator used for probability estimates. 0 by default. |
| Returns: |
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target : array, float |