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.

static is_multioutput()[source]#

Support Vector Machines do not support multi-output.

static get_tune_params()[source]#

Return a dictionary of hyperparameters to tune.