KmeansPlusPlusInitialization

public final class KmeansPlusPlusInitialization

Selects num_to_sample rows of input using the KMeans++ criterion.

Rows of points are assumed to be input points. One row is selected at random. Subsequent rows are sampled with probability proportional to the squared L2 distance from the nearest row selected thus far till num_to_sample rows have been sampled.

Constants

String

OP_NAME

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

Public Methods

Output<TFloat32>	asOutput() Returns the symbolic handle of the tensor.
static KmeansPlusPlusInitialization	create(Scope scope, Operand<TFloat32> points, Operand<TInt64> numToSample, Operand<TInt64> seed, Operand<TInt64> numRetriesPerSample) Factory method to create a class wrapping a new KmeansPlusPlusInitialization operation.
Output<TFloat32>	samples() Matrix of shape (num_to_sample, d).

Inherited Methods

From class 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()

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()

From interface 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.

From interface org.tensorflow.Operand

abstract Output<TFloat32>	asOutput() Returns the symbolic handle of the tensor.
abstract TFloat32	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<TFloat32>	type() Returns the tensor type of this operand

From interface 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: "KmeansPlusPlusInitialization"

Public Methods

public Output<TFloat32> 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 KmeansPlusPlusInitialization create (Scope scope, Operand<TFloat32> points, Operand<TInt64> numToSample, Operand<TInt64> seed, Operand<TInt64> numRetriesPerSample)

Factory method to create a class wrapping a new KmeansPlusPlusInitialization operation.

Parameters

scope	current scope
points	Matrix of shape (n, d). Rows are assumed to be input points.
numToSample	Scalar. The number of rows to sample. This value must not be larger than n.
seed	Scalar. Seed for initializing the random number generator.
numRetriesPerSample	Scalar. For each row that is sampled, this parameter specifies the number of additional points to draw from the current distribution before selecting the best. If a negative value is specified, a heuristic is used to sample O(log(num_to_sample)) additional points.

Returns

• a new instance of KmeansPlusPlusInitialization

public Output<TFloat32> samples ()

Matrix of shape (num_to_sample, d). The sampled rows.