SparseCrossV2

public final class SparseCrossV2

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")))

Public Methods

static SparseCrossV2	create(Scope scope, Iterable<Operand<Long>> indices, Iterable<Operand<?>> values, Iterable<Operand<Long>> shapes, Iterable<Operand<?>> denseInputs, Operand<String> sep) Factory method to create a class wrapping a new SparseCrossV2 operation.
Output<Long>	outputIndices() 2-D.
Output<Long>	outputShape() 1-D.
Output<String>	outputValues() 1-D.

Inherited Methods

From class org.tensorflow.op.PrimitiveOp

final boolean	equals(Object obj)
final int	hashCode()
Operation	op() Returns the underlying 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()

Public Methods

public static SparseCrossV2 create (Scope scope, Iterable<Operand<Long>> indices, Iterable<Operand<?>> values, Iterable<Operand<Long>> shapes, Iterable<Operand<?>> denseInputs, Operand<String> sep)

Factory method to create a class wrapping a new SparseCrossV2 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`.
sep	string used when joining a list of string inputs, can be used as separator later.

Returns

• a new instance of SparseCrossV2

public Output<Long> outputIndices ()

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

public Output<Long> outputShape ()

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

public Output<String> outputValues ()

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