History ======= Dask in machine learning originally consisted of a number of smaller libraries focused around particular sub-domains of machine learning. - dask-searchcv_: Scalable model selection - dask-glm_: Generalized Linear Model solvers - dask-xgboost_: Connection to the XGBoost library - dask-tensorflow_: Connection to the Tensorflow library While these special-purpose libraries were convenient for development, they were inconvenient for users who found the number of libraries daunting. The ``dask-ml`` project started as a combination of these that presented a single unified API and entry-point that mimicked Scikit-Learn. Afterwards additional algorithm development happened in the ``dask-ml`` library itself. The pre-existing libraries are still valid and dask-ml defers to them for future development. .. _dask-searchcv: https://github.com/dask/dask-searchcv .. _dask-glm: https://github.com/dask/dask-glm .. _dask-xgboost: https://github.com/dask/dask-xgboost .. _dask-tensorflow: https://github.com/dask/dask-tensorflow