tfma.extractors.SliceKeyExtractor
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Creates an extractor for extracting slice keys.
tfma.extractors.SliceKeyExtractor(
slice_spec: Optional[List[slicer.SingleSliceSpec]] = None,
eval_config: Optional[tfma.EvalConfig] = None,
materialize: Optional[bool] = True
) -> tfma.extractors.Extractor
The incoming Extracts must contain features stored under tfma.FEATURES_KEY
and optionally under tfma.TRANSFORMED_FEATURES.
The extractor's PTransform yields a copy of the Extracts input with an
additional extract pointing at the list of SliceKeyType values keyed by
tfma.SLICE_KEY_TYPES_KEY. If materialize is True then a materialized version
of the slice keys will be added under the key tfma.SLICE_KEYS_KEY.
Args |
|---|
slice_spec
|
Deprecated (use EvalConfig).
|
eval_config
|
Optional EvalConfig containing slicing_specs specifying the
slices to slice the data into. If slicing_specs are empty, defaults to
overall slice.
|
materialize
|
True to add MaterializedColumn entries for the slice keys.
|
Returns |
|---|
|
Extractor for slice keys.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tfma.extractors.SliceKeyExtractor\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/model-analysis/blob/v0.46.0/tensorflow_model_analysis/extractors/slice_key_extractor.py#L32-L75) |\n\nCreates an extractor for extracting slice keys. \n\n tfma.extractors.SliceKeyExtractor(\n slice_spec: Optional[List[slicer.SingleSliceSpec]] = None,\n eval_config: Optional[../../tfma/EvalConfig] = None,\n materialize: Optional[bool] = True\n ) -\u003e ../../tfma/extractors/Extractor\n\nThe incoming Extracts must contain features stored under tfma.FEATURES_KEY\nand optionally under tfma.TRANSFORMED_FEATURES.\n\nThe extractor's PTransform yields a copy of the Extracts input with an\nadditional extract pointing at the list of SliceKeyType values keyed by\ntfma.SLICE_KEY_TYPES_KEY. If materialize is True then a materialized version\nof the slice keys will be added under the key tfma.SLICE_KEYS_KEY.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------|---------------------------------------------------------------------------------------------------------------------------------------------------|\n| `slice_spec` | Deprecated (use EvalConfig). |\n| `eval_config` | Optional EvalConfig containing slicing_specs specifying the slices to slice the data into. If slicing_specs are empty, defaults to overall slice. |\n| `materialize` | True to add MaterializedColumn entries for the slice keys. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Extractor for slice keys. ||\n\n\u003cbr /\u003e"]]
View source on GitHub