tfl.premade_lib.build_calibrated_lattice_ensemble_layer
Stay organized with collections
Save and categorize content based on your preferences.
Creates a calibration layer followed by a lattice ensemble layer.
tfl.premade_lib.build_calibrated_lattice_ensemble_layer(
calibration_input_layer, model_config, average_outputs, 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 .
|
average_outputs
|
Whether to average the outputs of this layer.
|
dtype
|
dtype
|
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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-08-02 UTC."],[],[]]