Dask-ML wants to enable scalable machine learning in Python. It aims to do so by
- Working with existing libraries within the Python ecosystem
- Using the features of Dask to scale computation to larger datasets and larger problems
We’ll use these two values to guide what’s appropriate for inclusion in Dask-ML.
A list of open issues on our roadmap can be found on GitHub.