tfx.components.statistics_gen.executor.Executor

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Computes statistics over input training data for example validation.

Inherits From: BaseExecutor

tfx.components.statistics_gen.executor.Executor(
    context: Optional[tfx.dsl.components.base.base_executor.BaseExecutor.Context] = None
)

The StatisticsGen component generates features statistics and random samples over training data, which can be used for visualization and validation. StatisticsGen uses Beam and appropriate algorithms to scale to large datasets.

To include StatisticsGen in a TFX pipeline, configure your pipeline similar to https://github.com/tensorflow/tfx/blob/master/tfx/examples/chicago_taxi_pipeline/taxi_pipeline_simple.py#L75

Child Classes

class Context

Methods

Do

View source

Do(
    input_dict: Dict[Text, List[types.Artifact]],
    output_dict: Dict[Text, List[types.Artifact]],
    exec_properties: Dict[Text, Any]
) -> None

Computes stats for each split of input using tensorflow_data_validation.