tfl.premade_lib.construct_prefitting_model_config
Stay organized with collections
Save and categorize content based on your preferences.
Constructs a model config for a prefitting model for crystal extraction.
tfl.premade_lib.construct_prefitting_model_config(
model_config, feature_names=None
)
Used in the notebooks
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.
|
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 2024-08-02 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-08-02 UTC."],[],[]]
View source on GitHub
