meridian.model.adstock_hill.AdstockHillTransformer
Stay organized with collections
Save and categorize content based on your preferences.
Abstract class to compute the Adstock and Hill transformation of media.
Methods
forward
View source
@abc.abstractmethod
forward(
media: meridian.backend.Tensor
) -> meridian.backend.Tensor
Computes the Adstock and Hill transformation of a given media tensor.
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 2026-02-05 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2026-02-05 UTC."],[],["The core content describes an abstract class designed for media transformation using Adstock and Hill functions. It defines a single method, `forward`, which is an abstract method requiring implementation. This `forward` method takes a media tensor (`tf.Tensor`) as input and computes the Adstock and Hill transformation, returning the transformed tensor as output. This is the primary functionality of the class.\n"]]
View source on GitHub
