tfl.premade_lib.build_input_layer
Stay organized with collections
Save and categorize content based on your preferences.
Creates a mapping from feature name to keras.Input
.
tfl.premade_lib.build_input_layer(
feature_configs, dtype, ragged=False
)
Args |
feature_configs
|
A list of tfl.configs.FeatureConfig instances that
specify configurations for each feature.
|
dtype
|
dtype
|
ragged
|
If the inputs are ragged tensors.
|
Returns |
Mapping from feature name to keras.Input for the inputs specified by
feature_configs .
|
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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2024-08-02 UTC."],[],[]]