normalize rows in matrix numpy
def normalize_rows(x: numpy.ndarray):
"""
function that normalizes each row of the matrix x to have unit length.
Args:
``x``: A numpy matrix of shape (n, m)
Returns:
``x``: The normalized (by row) numpy matrix.
"""
return x/numpy.linalg.norm(x, ord=2, axis=1, keepdims=True)
Here is what the above code is Doing:
1. We first compute the norm of each row of the matrix x.
2. We then divide each row of the matrix x by its corresponding norm.
