sklearn.svm.libsvm.predict¶
-
sklearn.svm.libsvm.predict()¶ Predict target values of X given a model (low-level method)
- Parameters
- Xarray-like, dtype=float, size=[n_samples, n_features]
- 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’}
Type of kernel.
- degreeint
Degree of the polynomial kernel.
- gammafloat
Gamma parameter in rbf, poly and sigmoid kernels. Ignored by other kernels. 0.1 by default.
- coef0float
Independent parameter in poly/sigmoid kernel.
- Returns
- dec_valuesarray
predicted values.