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Include example config for ctapipe-train-disp-reconstructor in quickstart tool #2414

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merged 3 commits into from
Oct 20, 2023
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Include example config for ctapipe-train-disp-reconstructor in quickstart tool #2414

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864ff3a
Add ctapipe-train-disp-reconstructor config to quickstart tool
LukasBeiske Oct 20, 2023
4cfc82a
Add changelog
LukasBeiske Oct 20, 2023
81cd459
Add note about performance of provided ml configs
LukasBeiske Oct 20, 2023
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6 changes: 4 additions & 2 deletions ctapipe/tools/quickstart.py
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Expand Up @@ -17,6 +17,7 @@
"ml_preprocessing_config.yaml",
"train_energy_regressor.yaml",
"train_particle_classifier.yaml",
"train_disp_reconstructor.yaml",
]

README_TEXT = f"""
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ctapipe-process --help-all
```

## ctapipe-train-energy-regressor / ctapipe-train-particle-classifier configs
## ctapipe-train-energy-regressor / ctapipe-train-particle-classifier / ctapipe-train-disp-reconstructor configs

Included here are also base configurations for training machine learning (ML)
models for energy regression and gamma/hadron separation.
models for energy regression, gamma/hadron separation and disp origin reconstruction.
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I think we should add proper configuration files for use with ctapipe-quickstart, not the unit test files with slimmed down simplified configurations as we have them here.

Ok for now, but maybe add a note that these files are optimized for very fast training for demos and unit tests and will not result in good performance?


- `train_energy_regressor.yaml`: configuration of energy regression model
- `train_particle_classifier.yaml`: configuration of particle classification model
- `train_disp_reconstructor.yaml`: configuration of disp reconstruction models


This file was generated using ctapipe version {VERSION}
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2 changes: 2 additions & 0 deletions docs/changes/2414.bugfix.rst
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@@ -0,0 +1,2 @@
Add the example config for ctapipe-train-disp-reconstructor
to the list of configs generated by ctapipe-quickstart.