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)