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:
- Return type:
- Returns:
ret – Binarized output data
- Array.binarizer(self, /, *, 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:
self (
Array) – Data to be binarizedthreshold (
float, default:0) – Values greater than this are mapped to 1, others to 0.out (
Optional[Array], default:None) – optional output array, for writing the result to. 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)[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:
threshold (
Union[float,Container], default:0) – Values greater than this are mapped to 1, others to 0.key_chains (
Optional[Union[List[str],Dict[str,str],Container]], default:None) – The keychains to apply or not apply the method to. Default isNone.to_apply (
Union[bool,Container], default:True) – If True, the method will be applied to key_chains, otherwise key_chains will be skipped. Default isTrue.prune_unapplied (
Union[bool,Container], default:False) – Whether to prune key_chains for which the function was not applied. Default isFalse.map_sequences (
Union[bool,Container], default:False) – Whether to also map method to sequences (lists, tuples). Default isFalse.out (
Optional[Container], default:None) – optional output container, for writing the result to. It must have a shape that the inputs broadcast to.
- Return type:
Container- Returns:
ret – Binarized output data