binarizer#

ivy.binarizer(x, /, *, threshold=0, out=None)[source]#

Map the values of the input tensor to either 0 or 1, element-wise, based on the outcome of a comparison against a threshold value.

Parameters:
  • x (Union[Array, NativeArray]) – Data to be binarized

  • threshold (float) – Values greater than this are (default: 0) mapped to 1, others to 0.

  • out (Optional[Array]) – optional output array, for writing the result to. (default: None) It must have a shape that the inputs broadcast to.

Return type:

Array

Returns:

ret – Binarized output data

Array.binarizer(self, /, *, threshold=0, out=None)#

Map the values of the input tensor to either 0 or 1, element-wise, based on the outcome of a comparison against a threshold value.

Parameters:
  • self (Array) – Data to be binarized

  • threshold (float) – Values greater than this are (default: 0) mapped to 1, others to 0.

  • out (Optional[Array]) – optional output array, for writing the result to. (default: None) It must have a shape that the inputs broadcast to.

Return type:

Array

Returns:

ret – Binarized output data

Container.binarizer(self, *, threshold=0, key_chains=None, to_apply=True, prune_unapplied=False, map_sequences=False, out=None)#

Map the values of the input tensor to either 0 or 1, element-wise, based on the outcome of a comparison against a threshold value.

Parameters:
  • threshold (float) – Values greater than this are (default: 0) mapped to 1, others to 0.

  • key_chains (Optional[Union[List[str], Dict[str, str]]]) – The keychains to apply or not apply the method to. Default is None. (default: None)

  • to_apply (bool) – If True, the method will be applied to key_chains, otherwise key_chains (default: True) will be skipped. Default is True.

  • prune_unapplied (bool) – Whether to prune key_chains for which the function was not applied. (default: False) Default is False.

  • map_sequences (bool) – Whether to also map method to sequences (lists, tuples). (default: False) Default is False.

  • out (Optional[Container]) – optional output container, for writing the result to. It must have a shape (default: None) that the inputs broadcast to.

Return type:

Container

Returns:

ret – Binarized output data