Binarizer#

Domain: ai.onnx.ml
Since version: 1

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

Inputs

X (T): Data to be binarized

Outputs

Y (T): Binarized output data

Type Constraints

T: The input must be a tensor of a numeric type. The output will be of the same tensor type. Allowed types: tensor(double), tensor(float), tensor(int32), tensor(int64).

Examples#

test_cc_binarizer_float

Attributes:
  threshold = 1.0

Inputs:
  x: shape=(2, 4), dtype=float32
    [[ 0.5,  1. ,  1.5,  2. ],
     [-1. ,  1. ,  3. ,  0.9]]

Outputs:
  y: shape=(2, 4), dtype=float32
    [[0., 0., 1., 1.],
     [0., 0., 1., 0.]]

test_cc_binarizer_int64

Attributes:
  threshold = 3.0

Inputs:
  x: shape=(5,), dtype=int64
    [ 0,  3,  4, -2, 10]

Outputs:
  y: shape=(5,), dtype=int64
    [0, 0, 1, 0, 1]