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README.md

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# Create a new service (generic) template
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# Regression benchmark service
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This repository contains the Python + FastAPI template to create a service
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without a model or from an existing model compatible with the Core engine.
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Please read the documentation at
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<https://docs.swiss-ai-center.ch/how-to-guides/how-to-create-a-new-service> to
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understand how to use this template.
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## Guidelines
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TODO: Add instructions on how to edit this template.
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### Publishing and deploying using a CI/CD pipeline
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This is the recommended way to publish and deploy your service if you have
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access to GitHub Actions or GitLab CI.
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TODO
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### Publishing and deploying manually
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This is the recommended way to publish and deploy your service if you do not
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have access to GitHub Actions or GitLab CI or do not want to use these services.
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TODO
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## Checklist
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These checklists allow you to ensure everything is set up correctly.
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### Common tasks
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- [ ] Rename the project in the [`pyproject.toml`](./pyproject.toml) file
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- [x] Add files that must be ignored to the [`.gitignore`](.gitignore) configuration file
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- [ ] TODO
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### Publishing and deploying using a CI/CD pipeline
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> [!NOTE]
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> This checklist is specific to the _Publishing and deploying using a CI/CD
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> pipeline_ section.
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- [x] Add the environment variables
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- [ ] TODO
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### Publishing and deploying manually
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> [!NOTE]
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> This checklist is specific to the _Publishing and deploying manually_ section.
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- [x] Edit the [`.env`](.env) configuration file
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- [ ] TODO
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This service uses lazypredict benchmarks a dataset with various models and outputs the results sorted by accuracy.
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In order for the service to work your dataset label column must be called "target".
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Also to improve the results you may want to remove uneccessary columns from the dataset.
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Finally, avoid having multiple empty lines at the end of the file.

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