{"library":"dask-glm","type":"library","category":null,"description":"Generalized Linear Models with Dask. Current version is 0.4.0, with a release cadence approximately yearly. It provides implementations of GLMs (logistic, Poisson, etc.) that work on Dask arrays and DataFrames.","language":"python","status":"active","version":"0.4.0","tags":["dask","glm","generalized linear models","distributed","machine learning","logistic regression","poisson regression"],"last_verified":"Fri May 01","install":[{"cmd":"pip install dask-glm","imports":["from dask_glm.logistic import LogisticRegression","from dask_glm.poisson import PoissonRegression","from dask_glm.regularizers import proximal_grad"]},{"cmd":"conda install -c conda-forge dask-glm","imports":[]}],"homepage":null,"github":"https://github.com/dask/dask-glm","docs":"https://dask-glm.readthedocs.io","changelog":null,"pypi":"https://pypi.org/project/dask-glm/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}