Type SparseFeature
Namespace tensorflow
Parent PythonObjectContainer
Interfaces ISparseFeature
Configuration for parsing a sparse input feature from an `Example`. Note, preferably use `VarLenFeature` (possibly in combination with a
`SequenceExample`) in order to parse out `SparseTensor`s instead of
`SparseFeature` due to its simplicity. Closely mimicking the `SparseTensor` that will be obtained by parsing an
`Example` with a `SparseFeature` config, a `SparseFeature` contains a * `value_key`: The name of key for a `Feature` in the `Example` whose parsed
`Tensor` will be the resulting `SparseTensor.values`. * `index_key`: A list of names - one for each dimension in the resulting
`SparseTensor` whose `indices[i][dim]` indicating the position of
the `i`-th value in the `dim` dimension will be equal to the `i`-th value in
the Feature with key named `index_key[dim]` in the `Example`. * `size`: A list of ints for the resulting `SparseTensor.dense_shape`. For example, we can represent the following 2D `SparseTensor`
with an `Example` input proto
and `SparseFeature` config with 2 `index_key`s
Show Example
SparseTensor(indices=[[3, 1], [20, 0]],
values=[0.5, -1.0]
dense_shape=[100, 3])