tfdv.CombinerStatsGenerator

Generate statistics using combiner function.

tfdv.CombinerStatsGenerator(
    name: Text,
    schema: Optional[schema_pb2.Schema] = None
) -> None

This object mirrors a beam.CombineFn except for the add_input interface, which is expected to be defined by its sub-classes.

Args
`name`	A unique name associated with the statistics generator.
`schema`	An optional schema for the dataset.

Attributes
`name`
`schema`

Attributes

name

schema

add_input(
    accumulator: ACCTYPE,
    input_record_batch: pa.RecordBatch
) -> ACCTYPE

Returns result of folding a batch of inputs into accumulator.

Args
`accumulator`	The current accumulator.
`input_record_batch`	An Arrow RecordBatch whose columns are features and rows are examples. The columns are of type List or Null (If a feature's value is None across all the examples in the batch, its corresponding column is of Null type).

Returns
The accumulator after updating the statistics for the batch of inputs.

create_accumulator() -> ACCTYPE

Returns a fresh, empty accumulator.

Returns
An empty accumulator.

extract_output(
    accumulator: ACCTYPE
) -> statistics_pb2.DatasetFeatureStatistics

Returns result of converting accumulator into the output value.

Args
`accumulator`	The final accumulator value.

Returns
A proto representing the result of this stats generator.

merge_accumulators(
    accumulators: Iterable[ACCTYPE]
) -> ACCTYPE

Merges several accumulators to a single accumulator value.

Args
`accumulators`	The accumulators to merge.

Returns
The merged accumulator.