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

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<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
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.