sklearn.utils.arrayfuncs
.min_pos#
- sklearn.utils.arrayfuncs.min_pos(X)#
Find the minimum value of an array over positive values.
Returns the maximum representable value of the input dtype if none of the values are positive.
- Parameters:
- Xndarray of shape (n,)
Input array.
- Returns:
- min_valfloat
- The smallest positive value in the array, or the maximum representable value
of the input dtype if no positive values are found.
Examples
>>> import numpy as np >>> from sklearn.utils.arrayfuncs import min_pos >>> X = np.array([0, -1, 2, 3, -4, 5]) >>> min_pos(X) 2.0