View source on GitHub
|
Returns non-baseline model specs.
tfma.utils.get_non_baseline_model_specs(
eval_config: tfma.EvalConfig
) -> Iterable[tfma.ModelSpec]
tfma.utils.get_non_baseline_model_specs
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License, and code samples are licensed under the Apache 2.0 License. For details, see the Google Developers Site Policies. Java is a registered trademark of Oracle and/or its affiliates.
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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-04-26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."],[],[],null,["# tfma.utils.get_non_baseline_model_specs\n\n\u003cbr /\u003e\n\n|--------------------------------------------------------------------------------------------------------------------------------------------|\n| [View source on GitHub](https://github.com/tensorflow/model-analysis/blob/v0.46.0/tensorflow_model_analysis/utils/model_util.py#L115-L118) |\n\nReturns non-baseline model specs. \n\n tfma.utils.get_non_baseline_model_specs(\n eval_config: ../../tfma/EvalConfig\n ) -\u003e Iterable[../../tfma/ModelSpec]"]]