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build: make dependency on numpy and scipy explicit (#4)
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lsorber authored Mar 17, 2024
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2 changes: 1 addition & 1 deletion README.md
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Expand Up @@ -23,7 +23,7 @@ pip install conformal-tights

### Predicting quantiles

Conformal Tights exposes a meta-estimator called `ConformalCoherentQuantileRegressor` that you can use to wrap any scikit-learn regressor, after which you can use `predict_quantiles` predict conformally calibrated quantiles. Example usage:
Conformal Tights exposes a meta-estimator called `ConformalCoherentQuantileRegressor` that you can use to wrap any scikit-learn regressor, after which you can use `predict_quantiles` to predict conformally calibrated quantiles. Example usage:

```python
from conformal_tights import ConformalCoherentQuantileRegressor
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