SparseCrossHashed

public final class SparseCrossHashed

Generates sparse cross from a list of sparse and dense tensors.

The op takes two lists, one of 2D `SparseTensor` and one of 2D `Tensor`, each representing features of one feature column. It outputs a 2D `SparseTensor` with the batchwise crosses of these features.

For example, if the inputs are

inputs[0]: SparseTensor with shape = [2, 2] [0, 0]: "a" [1, 0]: "b" [1, 1]: "c"

inputs[1]: SparseTensor with shape = [2, 1] [0, 0]: "d" [1, 0]: "e"

inputs[2]: Tensor [["f"], ["g"]]

then the output will be

shape = [2, 2] [0, 0]: "a_X_d_X_f" [1, 0]: "b_X_e_X_g" [1, 1]: "c_X_e_X_g"

if hashed_output=true then the output will be

shape = [2, 2] [0, 0]: FingerprintCat64( Fingerprint64("f"), FingerprintCat64( Fingerprint64("d"), Fingerprint64("a"))) [1, 0]: FingerprintCat64( Fingerprint64("g"), FingerprintCat64( Fingerprint64("e"), Fingerprint64("b"))) [1, 1]: FingerprintCat64( Fingerprint64("g"), FingerprintCat64( Fingerprint64("e"), Fingerprint64("c")))

Constants

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

Public Methods

static SparseCrossHashed	create(Scope scope, Iterable<Operand<TInt64>> indices, Iterable<Operand<?>> values, Iterable<Operand<TInt64>> shapes, Iterable<Operand<?>> denseInputs, Operand<TInt64> numBuckets, Operand<TBool> strongHash, Operand<TInt64> salt) Factory method to create a class wrapping a new SparseCrossHashed operation.
Output<TInt64>	outputIndices() 2-D.
Output<TInt64>	outputShape() 1-D.
Output<TInt64>	outputValues() 1-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`.

Constants

public static final String OP_NAME

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

Constant Value: "SparseCrossHashed"

Public Methods

public static SparseCrossHashed create (Scope scope, Iterable<Operand<TInt64>> indices, Iterable<Operand<?>> values, Iterable<Operand<TInt64>> shapes, Iterable<Operand<?>> denseInputs, Operand<TInt64> numBuckets, Operand<TBool> strongHash, Operand<TInt64> salt)

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

Parameters

scope	current scope
indices	2-D. Indices of each input `SparseTensor`.
values	1-D. values of each `SparseTensor`.
shapes	1-D. Shapes of each `SparseTensor`.
denseInputs	2-D. Columns represented by dense `Tensor`.
numBuckets	It is used if hashed_output is true. output = hashed_value%num_buckets if num_buckets > 0 else hashed_value.
strongHash	boolean, if true, siphash with salt will be used instead of farmhash.
salt	Specify the salt that will be used by the siphash function.

Returns

a new instance of SparseCrossHashed

public Output<TInt64> outputIndices ()

2-D. Indices of the concatenated `SparseTensor`.

public Output<TInt64> outputShape ()

1-D. Shape of the concatenated `SparseTensor`.

public Output<TInt64> outputValues ()

1-D. Non-empty values of the concatenated or hashed `SparseTensor`.