def __init__(self, *args, **kwargs):
super(DTMatcher, self).__init__()
# If the name is given, then pop it
name = kwargs.pop('name', None)
if name is None:
# If the name of the matcher is give, then create one.
# Currently, we use a constant string + a random number.
self.name = 'DecisionTree' + '_' + get_ts()
else:
# Set the name of the matcher, with the given name.
self.name = name
# Set the classifier to the scikit-learn classifier.
self.clf = DecisionTreeClassifier(*args, **kwargs)
def __init__(self, *args, **kwargs):
super(LinRegMatcher, self).__init__()
# If the name is given, then pop it
name = kwargs.pop('name', None)
if name is None:
# If the name is not given, then create one.
# Currently, we use a constant string + a random number.
self.name = 'LinearRegression' + '_' + get_ts()
else:
# set the name for the matcher.
self.name = name
# Wrap the class implementing linear regression classifer.
self.clf = LinRegClassifierSKLearn(*args, **kwargs)