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")))

Public Methods

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

Inherited Methods

org.tensorflow.op.PrimitiveOp
final boolean
equals(Object obj)
final int
hashCode()
Operation
op()
Returns the underlying 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()

Public Methods

public static SparseCrossHashed create (Scope scope, Iterable<Operand<Long>> indices, Iterable<Operand<?>> values, Iterable<Operand<Long>> shapes, Iterable<Operand<?>> denseInputs, Operand<Long> numBuckets, Operand<Boolean> strongHash, Operand<Long> 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<Long> outputIndices ()

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

public Output<Long> outputShape ()

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

public Output<Long> outputValues ()

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