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This meta issue aims at giving an overview/summary of all quantile related issues and pull requests. This may help to coordinate future work.
metrics
linear_model
tree
ensemble
DecisionTreeRegressor
HistGradientBoostingRegressor
Also related is naming of losses #18248, and a possible private loss function module #15123.
The text was updated successfully, but these errors were encountered:
No branches or pull requests
This meta issue aims at giving an overview/summary of all quantile related issues and pull requests. This may help to coordinate future work.
metrics
: Add quantile loss as metric Add quantile loss as metric #18911, done in ENH Add mean_pinball_loss metric for quantile regression #19415linear_model
: Add quantile regressionAdd linear quantile regression #3148, alsoRobust versions of Linear Regression / Lasso / ElasticNet using LAD (L1-loss) #13612PR: [MRG] Add quantile regression #9978 and
[WIP] Add quantile regression (Continuation) #16343tree
andensemble
(based onDecisionTreeRegressor
): GBM Prediction Interval #4210, Prediction interval for Random Forests #4768, Quantile Regression Forest [Feature request] #11086 RandomForestRegressor quantile Criterion #18540HistGradientBoostingRegressor
: HistGradientBoostingRegressor and quantile loss function #17955Also related is naming of losses #18248, and a possible private loss function module #15123.
The text was updated successfully, but these errors were encountered: