Nathan (Nate) Day
Nathan (Nate) Day
This is a meta issue that is about fixing up some older issues related to using XGBoost models instead of Ranklib ones. - [ ] Binary features #152 - [...
This should include the new tag based Github releases and the downstream processes around Maven Central, etc.
Replaced lines that were over-writing `cexRow` and `cexCol` based on cell dimensions in `aheatmap()`. Fixes #105.
KCV is nice, but we really need to have a test/validation set example to show the benefits of using hold-out data to folks.
It would be useful for debugging model performance to include the explain output in the logged features. This would be similar to Splainer in terms of showing exactly where the...
This could be as simple, better highlighting of the issue we are trying to show (imbalanced training data, missing use cases). Or it could be a over-hauled into a new...
Goal: Design at least one notebook to showcase how to use XGBoost models in lieu of Ranklib ones. Linked to better documentation for XGBoost in ES-LTR https://github.com/o19s/elasticsearch-learning-to-rank/issues/353
Right now the downloads go to a `data/` folder that is a child of the respective search engine. This could cause two copies of the same large data files to...