tfl.premade_lib.build_calibration_layers
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Creates a calibration layer for submodels
as list of list of features.
tfl.premade_lib.build_calibration_layers(
calibration_input_layer,
model_config,
layer_output_range,
submodels,
separate_calibrators,
dtype
)
Args |
calibration_input_layer
|
A mapping from feature name to keras.Input .
|
model_config
|
Model configuration object describing model architecture.
Should be one of the model configs in tfl.configs .
|
layer_output_range
|
A tfl.premade_lib.LayerOutputRange enum.
|
submodels
|
A list of list of feature names.
|
separate_calibrators
|
If features should be separately calibrated for each
lattice in an ensemble.
|
dtype
|
dtype
|
Returns |
A list of list of Tensors representing a calibration layer for submodels .
|
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Last updated 2024-08-02 UTC.
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