def __init__(self, labeled_sample, unlabeled_sample, **kwargs): r""" See ``SVMClassificationAlgorithm`` for full documentation. """ SVMClassificationAlgorithm.__init__(self, labeled_sample, **kwargs) self.unlabeled_sample = unlabeled_sample try: self.solver = kwargs['solver'] except KeyError: self.solver = SVMUncertainClassificationAlgorithm.default_solver
def __init__(self, sample, **kwargs): r""" See ``SVMVQClassificationAlgorithm`` for full documentation. """ standard_sample = [a.example for a in sample] SVMClassificationAlgorithm.__init__(self, standard_sample, **kwargs) self.sample = sample self.model = None try: self.solver = kwargs['solver'] except KeyError: self.solver = SVMVQClassificationAlgorithm.default_solver