tf.keras.metrics.deserialize
Stay organized with collections
Save and categorize content based on your preferences.
Deserializes a serialized metric class/function instance.
tf.keras.metrics.deserialize(
config, custom_objects=None
)
Arguments |
|---|
config
|
Metric configuration.
|
custom_objects
|
Optional dictionary mapping names (strings) to custom
objects (classes and functions) to be considered during deserialization.
|
Returns |
|---|
A Keras Metric instance or a metric function.
|
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 2020-10-01 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]
TensorFlow 1 version
View source on GitHub