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#### Describe the workflow you want to enable
```python
trans = KBinsDiscretizer(strategy="quantile")
trans.fit(X, sample_weight=w)
```
This should use weighted quantiles.
#### Additional cont…
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It would be great to have more outcome families supported by projpred. For discrete outcome families with finite support (e.g. the cumulative family in ordinal regression), the projection can be perfo…
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Problem: Is there a recommended method for determining prediction uncertainty?
I'd like to determine some kind of probability distribution for each predicted value. For example, what is the standa…
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We are about to release version 2.0.0 of XGBoost. We invite everyone to try out the release candidate (RC).
Roadmap: https://github.com/dmlc/xgboost/projects/2
Release note: https://github.com/dml…
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Hello, I am a novice programmer trying to execute the Hypespy TEMEDS tutorial so I may adapt it for my own samples. Thanks for your consideration. When attempting to follow the hyperspy TEMEDS tutoria…
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We made a lot of changes to the design lately but `svyquantile` was not tested. @sayantikaSSG can you write some tests for `svyquantile`? And maybe @smishr can take a look at the source code and updat…
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**Describe the bug**
Running example notebook nbs/examples/UncertaintyIntervals.ipynb on Google Colab with GPU generates the error below.
The issue seems to be related to the **MQLoss**.
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Support for weights in `percentile` would be nice to have. A quick look suggests https://github.com/nudomarinero/wquantiles; I'd be happy to make a PR out of this implementation if there's interest.
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**Which module is related to your feature request?**
Scheduler/Optimizer
**Is your feature request related to a problem? Please describe.**
Here I will post all my ideas (new formulas) to improve…