tfma.types.VarLenTensorValue

VarLenTensorValue encapsulates a batch of varlen dense tensor values.

Main aliases

tfma.VarLenTensorValue

tfma.types.VarLenTensorValue(
    values: np.ndarray, indices: np.ndarray, dense_shape: np.ndarray
)

Attributes
`values`	A np.ndarray of values.
`indices`	A np.ndarray of indices.
`dense_shape`	A np.ndarray representing the dense shape of the entire tensor. Note that each row (i.e. set of values sharing the same value for the first / batch dimension) is considered to have its own shape based on the presence of values.

Child Classes

dense_rows()

@classmethod
from_dense_rows(
    dense_rows: Iterable[np.ndarray]
) -> 'VarLenTensorValue'

Converts a collection of variable length dense arrays into a tensor.

Args
`dense_rows`	A sequence of possibly variable length 1D arrays.

Returns
A new VarLenTensorValue containing the sparse representation of the vertically stacked dense rows. The dense_shape attribute on the result will be (num_rows, max_row_len).