I'm trying to write a python code for multivariate linear regression using mini-batch gradient descent. And there is an issue when running the predict function. xFeat
is a nd-array with shape n x d. beta
is an array of coefficients. yHat
is the predicted value.
def predict(self, xFeat):
X = np.array(xFeat)
yHat = np.zeros(len(X))
for i in range(X.shape[1]):
yHat += X[:, i] * self.beta[i]
return yHat
Error:
yHat += X[:, i] * self.beta[i]
TypeError: 'NoneType' object is not subscriptable
I hope I gave enough information. Please let me know if more info is needed.
Your beta list
is set to None in someplace. None always has no data and can not be subscriptable.
The error means that you attempted to index an object whose type is None. NoneType is the type of the None object - it represents a lack of value.