tfma.extractors.ExampleWeightsExtractor
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Creates an extractor for extracting example weights.
tfma.extractors.ExampleWeightsExtractor(
eval_config: tfma.EvalConfig
) -> tfma.extractors.Extractor
The extractor's PTransform uses the config's ModelSpec.example_weight_key(s)
to lookup the associated example weight values stored as features under the
tfma.FEATURES_KEY (and optionally tfma.TRANSFORMED_FEATURES_KEY) in extracts.
The resulting values are then added to the extracts under the key
tfma.EXAMPLE_WEIGHTS_KEY.
Args |
|---|
eval_config
|
Eval config.
|
Returns |
|---|
|
Extractor for extracting example weights.
|
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tfma.extractors.ExampleWeightsExtractor\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/example_weights_extractor.py#L28-L47) |\n\nCreates an extractor for extracting example weights. \n\n tfma.extractors.ExampleWeightsExtractor(\n eval_config: ../../tfma/EvalConfig\n ) -\u003e ../../tfma/extractors/Extractor\n\nThe extractor's PTransform uses the config's ModelSpec.example_weight_key(s)\nto lookup the associated example weight values stored as features under the\ntfma.FEATURES_KEY (and optionally tfma.TRANSFORMED_FEATURES_KEY) in extracts.\nThe resulting values are then added to the extracts under the key\ntfma.EXAMPLE_WEIGHTS_KEY.\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------|--------------|\n| `eval_config` | Eval config. |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| Extractor for extracting example weights. ||\n\n\u003cbr /\u003e"]]
View source on GitHub