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This issue is to create a wishlist of interval forecasters and probabilistic forecasters.
Anyone can add wishes here, in the end we prettify and move to the forecasting wishlist.
Interval forecast…
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After 2.0 WASM work, and some fixes, later on, #113 and #95. I am finally ready to do some more features.
I will start with some of the ones listed by the community.
- Total sell value (#104)
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When calculating a cut using `cuts.calculate_percentile_cut`, it would be useful to have to the option to associate weight with the `values` argument.
This can be done through an extra argument `we…
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Prediction of quantiles for a few thousand new records (3000 rows, 3 quantiles, 41 predictors) using a `RandomForestQuantileRegressor` (e.g. `n_estimators=50, min_samples_split=10, min_samples_leaf=10…
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Hi @fannymawbey @binyam-1 @Gare94
The R script so far is loaded into 'code' on this page. This issue is to create the outputs which allow the data for the front end to plot disaggregated boxplots …
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Some distributions have no closed form (or `special`) versions and are not tractable. For some use cases we can use approximation that are easier to work with.
example: moment matching for p-values…
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`?weight_draws` says `Add weights to draws objects, with one weight per draw, for use in subsequent weighting operations.` Currently the only supported subsequent operation is `resample_draws()`, but …
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Hello,
There's a consideration at [XGBoost](https://github.com/dmlc/xgboost/issues/5746) about potentially using the KLL sketch to represent feature value histograms.
One potential blocker is th…
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Hi, Scikit-learn owners and contributors,
I am wondering whether scikit-learn want to implement the quantile regression forest: http://www.jmlr.org/papers/volume7/meinshausen06a/meinshausen06a.pdf.…
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So far `make-surface` allows for equal interval, quantile breaks, any hybrid of the previous two, or manual classification for vectorization. Integrate a natural breaks classifier using random raster …