Comments (3)
![image](https://private-user-images.githubusercontent.com/50436520/292625009-f3ccb1f1-903e-4cd6-bbf3-3f4eba6d4900.png?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.IIcV3NhkYbhrRhjzgeOJ6p1fpOrb4LMraz6s5sVM-x4)
from probably.
Can you please provide a minimal reprex (reproducible example)? The goal of a reprex is to make it as easy as possible for me to recreate your problem so that I can fix it: please help me help you!
If you've never heard of a reprex before, start by reading "What is a reprex", and follow the advice further down that page.
from probably.
The API has changed since that post We'll update it.
The error message has the solution:
✖ This function does not work with grouped data frames.
ℹ Applydplyr::ungroup()
and use the.by
argument.
so use
combined %>%
cal_plot_breaks(Class, .pred_good, .by = c(source))
from probably.
Related Issues (20)
- use of native pipe incompatible with documented R version HOT 1
- Problem with names of columns like `probability_*` HOT 1
- augment methods for conformal prediction
- make a note about extrapolation with conformal quantile regression
- Add hex
- Modeltime Integration: Conformal Prediction Intervals for Time Series Forecasting HOT 1
- int_conformal_split(): Residuals should be sorted? HOT 3
- `cal_estimate_*()` with factor variable passed to `.by` fails
- Upkeep for probably (2023) HOT 1
- Generalize `int_conformal_quantile()`
- Release probably 1.0.2
- unused helper in source code
- `.by` argument works incorrectly for factor level groups.
- int_conformal_cv doesn't work with group_vfold_cv HOT 1
- data using in calibration validate functions
- Error in cal_plot_breaks()
- Updating predicted classes after calibrating probabilities doesn't work for non-syntactic levels
- Inconsistent appearance of `distance` metric in `threshold_perf()` HOT 1
- Implement Venn-ABERS predictor for classification
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from probably.