superlinear-ai/conformal-tights
👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster
When you need to predict a range of possible outcomes, such as future sales or house prices, this tool helps you get reliable forecasts. It takes your existing prediction model and data, then outputs a set of likely values, like a 10% to 90% range, or specific percentiles. Data analysts, financial modelers, or operations managers who rely on accurate predictions but also need to understand the uncertainty around them would find this useful.
116 stars. No commits in the last 6 months. Available on PyPI.
Use this if you already have a model that makes point predictions and you want to add robust, coherent prediction intervals or quantiles to understand the uncertainty in your forecasts.
Not ideal if you're looking for a tool to build your core prediction model from scratch, as it enhances existing models rather than creating new ones.
Stars
116
Forks
5
Language
Python
License
MIT
Category
Last pushed
Oct 01, 2025
Commits (30d)
0
Dependencies
6
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