tfma.metrics.CombinedFeaturePreprocessor
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Returns preprocessor for incl combined features in StandardMetricInputs.
tfma.metrics.CombinedFeaturePreprocessor(
feature_keys: Iterable[str],
include_default_inputs: bool = True,
model_names: Optional[Iterable[str]] = None,
output_names: Optional[Iterable[str]] = None
) -> StandardMetricInputsPreprocessor
Args |
feature_keys
|
List of feature keys. An empty list means all.
|
include_default_inputs
|
True to include default inputs (labels, predictions,
example weights) in addition to the transformed features.
|
model_names
|
Optional model names (required if transformed_features used
with multi-model evaluations).
|
output_names
|
Optional output names. Only used if include_default_inputs is
True. If unset all outputs will be included with the default inputs.
|
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Last updated 2024-04-26 UTC.
[{
"type": "thumb-down",
"id": "missingTheInformationINeed",
"label":"Missing the information I need"
},{
"type": "thumb-down",
"id": "tooComplicatedTooManySteps",
"label":"Too complicated / too many steps"
},{
"type": "thumb-down",
"id": "outOfDate",
"label":"Out of date"
},{
"type": "thumb-down",
"id": "samplesCodeIssue",
"label":"Samples / code issue"
},{
"type": "thumb-down",
"id": "otherDown",
"label":"Other"
}]
[{
"type": "thumb-up",
"id": "easyToUnderstand",
"label":"Easy to understand"
},{
"type": "thumb-up",
"id": "solvedMyProblem",
"label":"Solved my problem"
},{
"type": "thumb-up",
"id": "otherUp",
"label":"Other"
}]
{
"lastModified": "Last updated 2024-04-26 UTC.",
"confidential": False
}