Bucketize

public final class Bucketize

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]]

Constants

String OP_NAME The name of this op, as known by TensorFlow core engine

Public Methods

Output<TInt32>
asOutput()
Returns the symbolic handle of the tensor.
static Bucketize
create(Scope scope, Operand<? extends TNumber> input, List<Float> boundaries)
Factory method to create a class wrapping a new Bucketize operation.
Output<TInt32>
output()
Same shape with 'input', each value of input replaced with bucket index.

Inherited Methods

org.tensorflow.op.RawOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Return this unit of computation as a single Operation.
final String
toString()
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()
org.tensorflow.op.Op
abstract ExecutionEnvironment
env()
Return the execution environment this op was created in.
abstract Operation
op()
Return this unit of computation as a single Operation.
org.tensorflow.Operand
abstract Output<TInt32>
asOutput()
Returns the symbolic handle of the tensor.
abstract TInt32
asTensor()
Returns the tensor at this operand.
abstract Shape
shape()
Returns the (possibly partially known) shape of the tensor referred to by the Output of this operand.
abstract Class<TInt32>
type()
Returns the tensor type of this operand
org.tensorflow.ndarray.Shaped
abstract int
rank()
abstract Shape
shape()
abstract long
size()
Computes and returns the total size of this container, in number of values.

Constants

public static final String OP_NAME

The name of this op, as known by TensorFlow core engine

Constant Value: "Bucketize"

Public Methods

public Output<TInt32> asOutput ()

Returns the symbolic handle of the 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.

public static Bucketize create (Scope scope, Operand<? extends TNumber> input, List<Float> boundaries)

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<TInt32> output ()

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