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meridian.model.adstock_hill.HillTransformer Stay organized with collections
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Class to compute the Hill transformation of media.
Inherits From: AdstockHillTransformer
meridian
.
model
.
adstock_hill
.
HillTransformer
(
ec
:
meridian
.
backend
.
Tensor
,
slope
:
meridian
.
backend
.
Tensor
)
Tensor with dimensions [..., n_media_channels]
. Batch dimensions (...)
are optional, but if batch dimensions are included, they must
match the batch dimensions of ec
.
Tensor with dimensions [..., n_media_channels]
. Batch dimensions (...)
are optional, but if batch dimensions are included, they must
match the batch dimensions of slope
.
Methods
forward
View source
forward
(
media
:
meridian
.
backend
.
Tensor
)
->
meridian
.
backend
.
Tensor
Computes the Hill transformation of a given media
tensor.
Calculates results for the Hill function, which accounts for the diminishing
returns of media effects.
media
Tensor with dimensions [..., n_geos, n_media_times,
n_media_channels]
. Batch dimensions (...)
are optional, but if batch
dimensions are included, they must match the batch dimensions of slope
and ec
. Media is not required to have batch dimensions even if slope
and ec
contain batch dimensions.
Tensor with dimensions [..., n_geos, n_media_times, n_media_channels]
representing Hill-transformed media.
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 2025-12-09 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complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-12-09 UTC."],[],["The `HillTransformer` class computes the Hill transformation of media data, accounting for diminishing returns. It takes two main tensors as input: `ec` and `slope`, both with optional batch dimensions matching each other. The `forward` method applies the Hill function to a `media` tensor, which may include batch, geo, time, and media channel dimensions. This method returns a tensor with the same geo, time, and media channel dimensions as the input, representing the Hill-transformed media.\n"]]
