tfma.extractors.PredictionsExtractor

Creates an extractor for performing predictions over a batch.

tfma.extractors.PredictionsExtractor(
    eval_config: tfma.EvalConfig,
    eval_shared_model: Optional[tfma.types.EvalSharedModel] = None,
    output_keypath: Sequence[str] = (constants.PREDICTIONS_KEY,)
) -> tfma.extractors.Extractor

The extractor's PTransform loads and runs the serving saved_model(s) against every Extracts yielding a copy of the incoming Extracts with an additional Extracts added for the predictions keyed by tfma.PREDICTIONS_KEY. The model inputs are searched for under tfma.FEATURES_KEY (keras only) or tfma.INPUT_KEY (if tfma.FEATURES_KEY is not set or the model is non-keras). If multiple models are used the predictions will be stored in a dict keyed by model name.

Note that the prediction_key in the ModelSpecs also serves as a key into the dict of the prediction's output.

eval_config Eval config.
eval_shared_model Shared model (single-model evaluation) or list of shared models (multi-model evaluation) or None (predictions obtained from features).
output_keypath A sequence of keys to be used as the path to traverse and insert the outputs in the extract.

Extractor for extracting predictions.