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Calculates the mean of absolute percentage error.
Inherits From: Metric
tfma.metrics.MeanAbsolutePercentageError(
name: str = MEAN_ABSOLUTE_PERCENTAGE_ERROR_NAME
)
Formula: error = 100 * abs( (label - prediction) / label )
The metric computes the mean of absolute percentage error between labels and predictions. The labels and predictions should be floats.
Args | |
---|---|
name
|
The name of the metric. |
Methods
computations
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
@classmethod
from_config( config: Dict[str, Any] ) -> 'Metric'
get_config
get_config() -> Dict[str, Any]
Returns serializable config.