tf.keras.metrics.deserialize
Stay organized with collections
Save and categorize content based on your preferences.
Deserializes a serialized metric class/function instance.
View aliases
Compat aliases for migration
See
Migration guide for
more details.
`tf.compat.v1.keras.metrics.deserialize`
tf.keras.metrics.deserialize(
config, custom_objects=None
)
Args |
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. Some content is licensed under the numpy license.
Last updated 2023-10-06 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-10-06 UTC."],[],[]]