tfp.experimental.distributions.inflated_factory
Stay organized with collections
Save and categorize content based on your preferences.
Create Inflated subclasses for specific distributions and positions.
tfp.experimental.distributions.inflated_factory(
default_name, distribution_class, inflated_loc, **more_kwargs
)
Example usages |
|---|
|
SpikeAndSlab = inflated_factory('SpikeAndSlab', tfd.Normal, 0.0)
s_and_s = SpikeAndSlab(inflated_loc_probs=0.3, loc=5.0, scale=2.0)
ZeroInflatedNegativeBinomial = inflated_factory(
'ZeroInflatedNegativeBinomial', tfd.NegativeBinomial, 0.0)
zinb = ZeroInflatedNegativeBinomial(inflated_loc_probs=0.2, probs=0.5,
total_count=10.0)
|
Args |
|---|
default_name
|
The name of the subclass, unless the user passes a
name argument to init.
|
distribution_class
|
A tfd.Distribution class.
|
inflated_loc
|
The scalar position to inflate.
|
**more_kwargs
|
Additional keyword arguments to pass to the
distribution_class.
|
Returns |
|---|
|
A Inflated subclass that is the inflated version of distribution_class.
|
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 2023-11-21 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2023-11-21 UTC."],[],[]]
View source on GitHub