tensorflow:: ops:: Bucketize
#include <math_ops.h>
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.
Constructors and Destructors |
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Bucketize(const ::tensorflow::Scope & scope, ::tensorflow::Input input, const gtl::ArraySlice< float > & boundaries)
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Public attributes |
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operation
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output
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Public functions |
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node() const
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::tensorflow::Node *
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operator::tensorflow::Input() const
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operator::tensorflow::Output() const
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Public attributes
operation
Operation operation
output
::tensorflow::Output output
Public functions
Bucketize
Bucketize( const ::tensorflow::Scope & scope, ::tensorflow::Input input, const gtl::ArraySlice< float > & boundaries )
node
::tensorflow::Node * node() const
operator::tensorflow::Input
operator::tensorflow::Input() const
operator::tensorflow::Output
operator::tensorflow::Output() const