tfma.metrics.FeaturePreprocessor
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Returns preprocessor for including features in StandardMetricInputs.
tfma.metrics.FeaturePreprocessor(
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 features.
|
model_names
|
Optional model names. Only used if include_default_inputs is
True. If unset all models will be included with the default inputs.
|
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.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[]]