def __init__(self, sample, **kwargs):
r"""
See ``SVMClassificationAlgorithm`` for full documentation.
"""
LearningAlgorithm.__init__(self, sample)
check_svm_classification_sample(sample)
self.sample = sample
self.model = None
try:
self.c = kwargs['c']
except KeyError:
self.c = float('inf')
try:
self.kernel = kwargs['kernel']
except KeyError:
self.kernel = LinearKernel()
try:
self.solver = kwargs['solver']
except KeyError:
#self.solver = CVXOPTClassificationSolver(*args, **kwargs)
self.solver = SVMClassificationAlgorithm.default_solver
def __init__(self, sample, **kwargs):
r"""
See ``PerceptronAlgorithm`` for full documentation.
"""
try:
self.threshold = kwargs["threshold"]
except KeyError:
self.threshold = True
self.model = None
LearningAlgorithm.__init__(self, sample)
self.reset(**kwargs)
