tfma.is_legacy_estimator
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Returns true if there is a legacy estimator.
tfma.is_legacy_estimator(
eval_shared_model: Optional[tfma.types.EvalSharedModel] = None
) -> bool
Args |
|---|
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).
|
Returns |
|---|
|
A boolean indicating if legacy predict extractor will be used.
|
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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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26 UTC."],[],[]]
View source on GitHub
