def __init__(
self,
k=10,
base_model = LinearRegression(),
cluster_prediction_weights = 'hard', # or 'soft'
verbose=False):
ClusteredEstimator.__init__(self, k, base_model, verbose)
self.cluster_prediction_weights = cluster_prediction_weights
def __init__(
self,
k=10,
base_model=LinearRegression(),
cluster_prediction_weights='hard', # or 'soft'
verbose=False):
ClusteredEstimator.__init__(self, k, base_model, verbose)
self.cluster_prediction_weights = cluster_prediction_weights
def __init__(self, k=10, base_model=LinearSVC(), verbose=False):
ClusteredEstimator.__init__(self, k, base_model, verbose)
def __init__(self, k=10, base_model = LinearSVC(), verbose=False):
ClusteredEstimator.__init__(self, k, base_model, verbose)
