tensorflow::ops::Bucketize

Bucketizes 'input' based on 'boundaries'.

Summary

For example, if the inputs are boundaries = [0, 10, 100] input = [[-5, 10000] [150, 10] [5, 100]]

then the output will be output = [[0, 3] [3, 2] [1, 3]]

Args:

• scope: A Scope object
• input: Any shape of Tensor contains with int or float type.
• boundaries: A sorted list of floats gives the boundary of the buckets.

Returns:

• Output: Same shape with 'input', each value of input replaced with bucket index.

(numpy) Equivalent to np.digitize.

Public attributes

Operation operation

::tensorflow::Output output

Public functions

 Bucketize(
  const ::tensorflow::Scope & scope,
  ::tensorflow::Input input,
  const gtl::ArraySlice< float > & boundaries
)

::tensorflow::Node * node() const 

 operator::tensorflow::Input() const 

 operator::tensorflow::Output() const