Table Of Contents
Table Of Contents

log1p

mxnet.ndarray.sparse.log1p(data=None, out=None, name=None, **kwargs)

Returns element-wise log(1 + x) value of the input.

This function is more accurate than log(1 + x) for small x so that \(1+x\approx 1\)

The storage type of log1p output depends upon the input storage type:

  • log1p(default) = default
  • log1p(row_sparse) = row_sparse
  • log1p(csr) = csr

Defined in src/operator/tensor/elemwise_unary_op_basic.cc:L988

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