tfl.premade_lib.set_crystals_lattice_ensemble
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Extracts crystals from a prefitting model and finalizes model_config.
tfl.premade_lib.set_crystals_lattice_ensemble(
model_config, prefitting_model_config, prefitting_model, feature_names=None
)
Used in the notebooks
Args |
|---|
model_config
|
Model configuration object describing model architecture.
Should be a tfl.configs.CalibratedLatticeEnsemble instance.
|
prefitting_model_config
|
Model configuration object describing prefitting
model architecture. Should be a tfl.configs.CalibratedLatticeEnsemble
insance constructed using
tfl.premade_lib.construct_prefitting_model_config.
|
prefitting_model
|
A trained tfl.premade.CalibratedLatticeEnsemble,
tfl.estimators.CannedEstimator, tfl.estimators.CannedClassifier, or
tfl.estiamtors.CannedRegressor 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.
|
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Last updated 2024-08-02 UTC.
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View source on GitHub