View source on GitHub
|
Returns true if there is a legacy estimator.
tfma.is_legacy_estimator(
eval_shared_model: Optional[tfma.types.EvalSharedModel] = None
) -> bool
Returns | |
|---|---|
| A boolean indicating if legacy predict extractor will be used. |
tfma.is_legacy_estimator
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Last updated 2024-04-26 UTC.
[null,null,["Last updated 2024-04-26 UTC."],[],[],null,["# tfma.is_legacy_estimator\n\n\u003cbr /\u003e\n\n|------------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/model-analysis/blob/v0.46.0/tensorflow_model_analysis/api/model_eval_lib.py#L1009-L1032) |\n\nReturns true if there is a legacy estimator. \n\n tfma.is_legacy_estimator(\n eval_shared_model: Optional[../tfma/types/EvalSharedModel] = None\n ) -\u003e bool\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Args ---- ||\n|---------------------|-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `eval_shared_model` | Shared model (single-model evaluation) or list of shared models (multi-model evaluation). Required unless the predictions are provided alongside of the features (i.e. model-agnostic evaluations). |\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n\u003cbr /\u003e\n\n| Returns ------- ||\n|---|---|\n| A boolean indicating if legacy predict extractor will be used. ||\n\n\u003cbr /\u003e"]]