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Min label position metric.
tfma.metrics.MinLabelPosition( name=MIN_LABEL_POSITION_NAME, label_key: Optional[str] = None )
Calculates the least index in a query which has a positive label. The final returned value is the weighted average over all queries in the evaluation set which have at least one labeled entry. Note, ranking is indexed from one, so the optimal value for this metric is one. If there are no labeled rows in the evaluation set, the final output will be zero.
This is a query/ranking based metric so a query_key must also be provided in the associated metrics spec.
||Optional label key to override default label.|
computations( eval_config: Optional[
tfma.EvalConfig] = None, schema: Optional[schema_pb2.Schema] = None, model_names: Optional[List[str]] = None, output_names: Optional[List[str]] = None, sub_keys: Optional[List[Optional[SubKey]]] = None, aggregation_type: Optional[AggregationType] = None, class_weights: Optional[Dict[int, float]] = None, example_weighted: bool = False, query_key: Optional[str] = None ) ->
Creates computations associated with metric.
get_config() -> Dict[str, Any]
Returns serializable config.