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 >
Output < TInt64 >
Output < TInt64 >

Inherited Methods

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`.