A new release of the budding duckdb extension for mlpack, the C++ header-only library for machine learning, was merged into the duckdb community extensions repo today, and has been updated at its duckdb ‘mlpack’ extension page.
This release 0.0.4 adds two new methods (random forests, and
regularized logistic regression), reworked the interface a little to now
consistently provide fit (or train) and
predict methods, adds a new internal state variable
mlpack_verbose which can trigger (or suppress) verbose mode
directly from SQL, expanded the documentation and added more unit
tests.
For more details, see the repo for code, issues and more, and the extension page for more about this duckdb community extension.
This post by Dirk Eddelbuettel originated on his Thinking inside the box blog. If you like this or other open-source work I do, you can sponsor me at GitHub.