autoemulate.emulators.svm#
- class SupportVectorMachine(x, y, standardize_x=False, standardize_y=False, kernel='rbf', degree=3, gamma='scale', coef0=0.0, tol=0.001, C=1.0, epsilon=0.1, shrinking=True, cache_size=200.0, verbose=False, max_iter=100, normalise_y=True, device='cpu')[source]#
Bases:
SklearnBackend
Support Vector Machines Emulator.
Wraps Support Vector Regressor from scikit-learn.