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Jammy2211 merged 1 commit into from
Jul 30, 2026
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docs: point multi-dataset example links at the renamed multi_dataset package #673

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4 changes: 2 additions & 2 deletions docs/general/model_cookbook.md
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Expand Up @@ -436,7 +436,7 @@ but certain parameters are free to vary across the datasets.

The following example notebooks show how to compose and fit these models:

<https://github.com/PyAutoLabs/autolens_workspace/blob/main/notebooks/multi/start_here.ipynb>
<https://github.com/PyAutoLabs/autolens_workspace/blob/main/notebooks/multi_dataset/start_here.ipynb>

## Relations (Advanced)

Expand All @@ -445,7 +445,7 @@ We can compose models where the free parameter(s) vary according to a user-speci

The following example notebooks show how to compose and fit these models:

<https://github.com/PyAutoLabs/autolens_workspace/blob/main/notebooks/multi/features/wavelength_dependence/modeling.ipynb>
<https://github.com/PyAutoLabs/autolens_workspace/blob/main/notebooks/multi_dataset/features/wavelength_dependence/modeling.ipynb>

## PyAutoFit API

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2 changes: 1 addition & 1 deletion docs/overview/overview_3_features.md
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Expand Up @@ -166,7 +166,7 @@ The appearance of the strong changes as a function of wavelength, therefore mult
more about the different components in a galaxy (e.g a redder bulge and bluer disk) or when imaging and interferometer
data are combined, we can compare the emission from stars and dust.

Checkout the `autolens_workspace/*/multi` package to get started, however combining datasets is a more advanced
Checkout the `autolens_workspace/*/multi_dataset` package to get started, however combining datasets is a more advanced
feature and it is recommended you first get to grips with the core API.

### Ellipse Fitting
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