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Mean metric.
Inherits From: Metric
tfma.metrics.Mean(
feature_key_path: _KeyPath,
example_weights_key_path: Optional[_KeyPath] = None,
name: Optional[str] = None
)
Args | |
---|---|
feature_key_path
|
key path to feature to calculate the mean of. |
example_weights_key_path
|
key path to example weights. |
name
|
Metric base name. |
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.