def predict_cpp(self, X, depth):
#ensure consistency to c data type
X = SP.array(X, dtype='float')
response = SP.empty(X.shape[0])
return CSP.predict(response, self.nodes, self.left_child,
self.right_child, self.best_predictor, self.mean,
self.s, X, depth)
def predict_cpp(self, X, depth):
#ensure consistency to c data type
X = SP.array(X, dtype='float')
response = SP.empty(X.shape[0])
return CSP.predict(response, self.nodes, self.left_child,
self.right_child, self.best_predictor, self.mean,
self.s, X, depth)
def cpp_best_split_full_model(X, Uy, C, S, U, noderange, delta,
save_memory=False):
"""wrappe calling cpp splitting function"""
return CSP.best_split_full_model(X, Uy, C, S, U, noderange, delta)