tfma.metrics.ExampleCount

Example count.

Inherits From: Metric

tfma.metrics.ExampleCount(
    name: str = EXAMPLE_COUNT_NAME
)

Note that although the example_count is independent of the model, this metric will be associated with a model for consistency with other metrics.

name Metric name.

compute_confidence_interval Always disable confidence intervals for ExampleCount.

Confidence intervals capture uncertainty in a metric if it were computed on more examples. For ExampleCount, this sort of uncertainty is not meaningful, so confidence intervals are disabled.

Methods

computations

View source

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
) -> tfma.metrics.MetricComputations

Creates computations associated with metric.

from_config

View source

@classmethod
from_config(
    config: Dict[str, Any]
) -> 'Metric'

get_config

View source

get_config() -> Dict[str, Any]

Returns serializable config.