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1 change: 0 additions & 1 deletion MANIFEST.in
Original file line number Diff line number Diff line change
@@ -1,3 +1,2 @@
include examples/forecast.py tests/conftest.py tests/distribution.py
include uv.lock .python-version
exclude README.md
18 changes: 11 additions & 7 deletions README.md
Original file line number Diff line number Diff line change
@@ -1,7 +1,7 @@
<p>
<picture>
<source media="(max-width: 600px)" srcset="./assets/readme/header-mobile.svg">
<img src="./assets/readme/header.svg" alt="ci-proto · Continuous Intelligence"
<source media="(max-width: 600px)" srcset="https://raw.githubusercontent.com/continuousintelligence/ci/main/assets/readme/header-mobile.svg">
<img src="https://raw.githubusercontent.com/continuousintelligence/ci/main/assets/readme/header.svg" alt="ci-proto · Continuous Intelligence"
width="1200">
</picture>
</p>
Expand Down Expand Up @@ -52,7 +52,7 @@ ci.plot_forecast(history, prediction, model.quantiles, output="forecast.png")
```

![Five days of hourly bicycle rentals followed by ci-proto's next-day median
forecast and nested quantile bands.](./assets/readme/bike_sharing_forecast.png)
forecast and nested quantile bands.](https://raw.githubusercontent.com/continuousintelligence/ci/main/assets/readme/bike_sharing_forecast.png)

**The next 24 hours, with uncertainty included.** The shaded region marks the forecast
day. The curve shows the model's median forecast, surrounded by nested quantile bands.
Expand All @@ -73,7 +73,7 @@ covariates, practical uses of the quantiles, and forecasting through missing dat
[![Mean scaled quantile loss on fev-bench versus parameter count for ci-proto and other
forecasting models. Lower is better.][frontier]][frontier]

[frontier]: ./assets/readme/ci_proto_pareto_frontier.png
[frontier]: https://raw.githubusercontent.com/continuousintelligence/ci/main/assets/readme/ci_proto_pareto_frontier.png

## Talk to the team

Expand Down Expand Up @@ -367,7 +367,11 @@ requests focused, and run the checks above before submitting.
## Licence

The code and model weights are released under the
[ci-proto Code and Model Licence](LICENCE). Third-party components retain their upstream
licences; see [NOTICE](NOTICE) for attribution and the Apache 2.0 licence text.
[ci-proto Code and Model Licence][licence]. Third-party components retain their upstream
licences; see [NOTICE][notice] for attribution and the Apache 2.0 licence text.
The bundled example data is licensed under CC BY 4.0;
see its [notice](src/continuousintelligence/_data/NOTICE).
see its [notice][data-notice].

[licence]: https://github.com/continuousintelligence/ci/blob/main/LICENCE
[notice]: https://github.com/continuousintelligence/ci/blob/main/NOTICE
[data-notice]: https://github.com/continuousintelligence/ci/blob/main/src/continuousintelligence/_data/NOTICE
4 changes: 2 additions & 2 deletions pyproject.toml
Original file line number Diff line number Diff line change
Expand Up @@ -4,9 +4,9 @@ build-backend = "setuptools.build_meta"

[project]
name = "continuousintelligence"
version = "0.1.0"
version = "0.1.1"
description = "Continuous Intelligence models"
readme = { text = "Continuous Intelligence models.", content-type = "text/markdown" }
readme = "README.md"
license = "LicenseRef-ci-proto AND Apache-2.0 AND CC-BY-4.0"
license-files = [
"LICENCE",
Expand Down
2 changes: 1 addition & 1 deletion uv.lock

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