Table Of Contents
Table Of Contents

expm1

mxnet.ndarray.expm1(data=None, out=None, name=None, **kwargs)

Returns exp(x) - 1 computed element-wise on the input.

This function provides greater precision than exp(x) - 1 for small values of x.

The storage type of expm1 output depends upon the input storage type:

  • expm1(default) = default
  • expm1(row_sparse) = row_sparse
  • expm1(csr) = csr

Defined in src/operator/tensor/elemwise_unary_op_basic.cc:L1006

Parameters:
  • data (NDArray) – The input array.
  • out (NDArray, optional) – The output NDArray to hold the result.
Returns:

out – The output of this function.

Return type:

NDArray or list of NDArrays