tf.compat.v1.train.sdca_shrink_l1
Stay organized with collections
Save and categorize content based on your preferences.
Applies L1 regularization shrink step on the parameters.
tf.compat.v1.train.sdca_shrink_l1(
weights, l1, l2, name=None
)
Args |
weights
|
A list of Tensor objects with type mutable float32 .
a list of vectors where each value is the weight associated with a
feature group.
|
l1
|
A float . Symmetric l1 regularization strength.
|
l2
|
A float .
Symmetric l2 regularization strength. Should be a positive float.
|
name
|
A name for the operation (optional).
|
Returns |
The created Operation.
|
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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2020-10-01 UTC."],[],[]]