GitHub

tfl.premade_lib.construct_prefitting_model_config

Constructs a model config for a prefitting model for crystal extraction.

Main aliases

tfl.premade.premade_lib.construct_prefitting_model_config

tfl.premade_lib.construct_prefitting_model_config(
    model_config, feature_names=None
)

Used in the tutorials
TF Lattice Premade Models

Args
`model_config`	Model configuration object describing model architecture. Should be a `tfl.configs.CalibratedLatticeEnsemble` instance.
`feature_names`	A list of feature names. If not provided, feature names will be extracted from the feature configs contained in the model_config.

Returns
A `tfl.configs.CalibratedLatticeEnsembleConfig` instance.

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 2022-07-01 UTC.

Args