[DO NOT MERGE] Use raft::span in TreeExplainer #1
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In this PR, I'll wrap `dask-glm` models so that it accepts `dask_cudf Dataframes` and behaves like other `cuml.dask` models. `dask-glm` provides three estimators: `LogisticRegression`, `LinearRegression` and `PoissonRegression`. MNMG `LogisticRegression` is requested by @beckernick . @JohnZed for visibility. Thank you all. Authors: - Jiwei Liu (https://github.com/daxiongshu) - Nick Becker (https://github.com/beckernick) - Dante Gama Dessavre (https://github.com/dantegd) Approvers: - Ray Douglass (https://github.com/raydouglass) - AJ Schmidt (https://github.com/ajschmidt8) - Dante Gama Dessavre (https://github.com/dantegd) URL: rapidsai#3512
Authors: - Victor Lafargue (https://github.com/viclafargue) - Dante Gama Dessavre (https://github.com/dantegd) Approvers: - Corey J. Nolet (https://github.com/cjnolet) URL: rapidsai#4706
xref: rapidsai/integration#471 Authors: - https://github.com/jakirkham Approvers: - Dante Gama Dessavre (https://github.com/dantegd) - William Hicks (https://github.com/wphicks) - Ray Douglass (https://github.com/raydouglass) URL: rapidsai#4720
This PR convert the `from sources` build we are doing in GPU test job to a `conda build`. This is done for the following reasons: - This is required step to improve the Ops CI/CD setup to a more convenient pipeline - This is required to start using `conda` compilers and `mamba` to build RAPIDS packages - This prevent us from manually managing and installing the dependencies in GPU job - This ensure the packages can be installed - This ensure the tests are running and working against the package content and not the build results. Currently the Python packages are not tested. This may increase the global pipeline time, but the usage of `mamba` should resolve this as `mamba` is faster than `conda` to build packages Authors: - Jordan Jacobelli (https://github.com/Ethyling) Approvers: - AJ Schmidt (https://github.com/ajschmidt8) - Dante Gama Dessavre (https://github.com/dantegd) URL: rapidsai#4702
This PR allows building libcuml++ static libs via CMake option `-DBUILD_SHARED_LIBS=ON|OFF`. ~I was seeing a linker error due to not having `-fPIC` enabled, but I wouldn't have expected this to affect static libs. I'll investigate some more and turn it off if possible, but for now `-fPIC` is enabled.~ Authors: - Paul Taylor (https://github.com/trxcllnt) Approvers: - Robert Maynard (https://github.com/robertmaynard) - Dante Gama Dessavre (https://github.com/dantegd) URL: rapidsai#4673
Authors: - Victor Lafargue (https://github.com/viclafargue) Approvers: - Corey J. Nolet (https://github.com/cjnolet) - Dante Gama Dessavre (https://github.com/dantegd) URL: rapidsai#4716
Stacked on rapidsai#4671. - Remove extra redundant class in python layer. - Simplify the interface between C++ and python using variants. - Fix rapidsai#4670 by allowing double precision data - Document TreeExplainer - Add interventional shap method - Add shapley interactions and taylor interactions - Promote from experimental - Support sklearn estimator types from xgb/lgbm (i.e. no need to convert to booster before using TreeExplainer) Authors: - Rory Mitchell (https://github.com/RAMitchell) Approvers: - Philip Hyunsu Cho (https://github.com/hcho3) - Dante Gama Dessavre (https://github.com/dantegd) URL: rapidsai#4697
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This pull request shows a clean diff between rapidsai#4697 and rapidsai#4714