Bucketize
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Bucketizes 'input' based on 'boundaries'.
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]]
Public Methods
Output<Integer>
|
asOutput()
Returns the symbolic handle of a tensor.
|
static
<T extends Number>
Bucketize
|
create( Scope scope, Operand<T> input, List<Float> boundaries)
Factory method to create a class wrapping a new Bucketize operation.
|
Output<Integer>
|
output()
Same shape with 'input', each value of input replaced with bucket index.
|
Inherited Methods
From class
java.lang.Object
boolean
|
equals(Object arg0)
|
final
Class<?>
|
getClass()
|
int
|
hashCode()
|
final
void
|
notify()
|
final
void
|
notifyAll()
|
String
|
toString()
|
final
void
|
wait(long arg0, int arg1)
|
final
void
|
wait(long arg0)
|
final
void
|
wait()
|
Public Methods
public
Output<Integer>
asOutput
()
Returns the symbolic handle of a tensor.
Inputs to TensorFlow operations are outputs of another TensorFlow operation. This method is
used to obtain a symbolic handle that represents the computation of the input.
Factory method to create a class wrapping a new Bucketize operation.
Parameters
scope |
current scope |
input |
Any shape of Tensor contains with int or float type. |
boundaries |
A sorted list of floats gives the boundary of the buckets. |
Returns
- a new instance of Bucketize
public
Output<Integer>
output
()
Same shape with 'input', each value of input replaced with bucket index.
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Last updated 2022-09-07 UTC.
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