NegTrain

public final class NegTrain

Training via negative sampling.

Constants

String

OP_NAME

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

Public Methods

static NegTrain

create(Scope scope, Operand<TFloat32> wIn, Operand<TFloat32> wOut, Operand<TInt32> examples, Operand<TInt32> labels, Operand<TFloat32> lr, List<Long> vocabCount, Long numNegativeSamples) Factory method to create a class wrapping a new NegTrain operation.

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.

Constants

public static final String OP_NAME

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

Constant Value: "NegTrain"

Public Methods

public static NegTrain create (Scope scope, Operand<TFloat32> wIn, Operand<TFloat32> wOut, Operand<TInt32> examples, Operand<TInt32> labels, Operand<TFloat32> lr, List<Long> vocabCount, Long numNegativeSamples)

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

Parameters

scope	current scope
wIn	input word embedding.
wOut	output word embedding.
examples	A vector of word ids.
labels	A vector of word ids.
vocabCount	Count of words in the vocabulary.
numNegativeSamples	Number of negative samples per example.

Returns

• a new instance of NegTrain