Transformation¶
Documentation for the transformation module.
-
mlearn.algorithms.transform.
standardize
(x)[source]¶ Perform z-transformation to get standard score of input matrix.
Parameters: x (numpy.array) – Input matrix to be standardized. Returns: x_stand – Standardized matrix. Return type: numpy.array Notes
\[z = \frac{x - \mu}{\sigma}\]References
[1] https://en.wikipedia.org/wiki/Standard_score Examples
>>> # The input matrix >>> x = np.array([[1, 11, 104], [1, 15, 99], [1, 22, 89], [1, 27, 88]]) >>> standardize(x) [[ 0. -1.25412576 1.33424877] [ 0. -0.60683505 0.59299945] [ 0. 0.52592371 -0.88949918] [ 0. 1.3350371 -1.03774904]]