mxnet.np.expm1¶
-
expm1
(x, out=None, **kwargs)¶ Calculate exp(x) - 1 for all elements in the array.
- Parameters
x (ndarray or scalar) – Input values.
out (ndarray or None, optional) – A location into which the result is stored. If provided, it must have a shape that the inputs broadcast to. If not provided or None, a freshly-allocated array is returned.
- Returns
out – Output array, element-wise exponential minus one: out = exp(x) - 1. This is a scalar if x is a scalar.
- Return type
ndarray or scalar
Examples
>>> np.expm1(1) 1.718281828459045 >>> x = np.array([-1, 1, -2, 2]) >>> np.exp(x) array([-0.63212056, 1.71828183, -0.86466472, 6.3890561])
Did this page help you?
Yes
No
Thanks for your feedback!