I have been programming for years in python but now i was reading a program to do linnear regression and i found this.
if X.ndim == 1:
X = X[:, None]
d = X - self.mean
precision = np.linalg.inv(self.var)
return (
np.exp(-0.5 * np.sum(d @ precision * d, axis=-1))
* np.sqrt(np.linalg.det(precision))
/ np.power(2 * np.pi, 0.5 * self.ndim))
what does the @ in this code?
It's the matrix multiplication operator as described in PEP-465 and first made available in Python 3.5.