{"library":"ctboost","type":"library","category":null,"description":"CTBoost is a GPU-accelerated gradient boosting library that uses Conditional Inference Trees (CIT) as base learners, providing a statistically principled alternative to standard regression trees. Current version is 0.1.50, with frequent releases.","language":"python","status":"active","version":"0.1.50","tags":["gradient-boosting","conditional-inference-trees","gpu-acceleration","machine-learning","classification","regression"],"last_verified":"Sat May 09","install":[{"cmd":"pip install ctboost","imports":["from ctboost import CTBoostClassifier","from ctboost import CTBoostRegressor"]},{"cmd":"pip install ctboost[cuda]","imports":[]}],"homepage":null,"github":"https://github.com/captnmarkus/ctboost","docs":null,"changelog":null,"pypi":"https://pypi.org/project/ctboost/","npm":null,"openapi_spec":null,"status_page":null,"smithery":null,"compatibility":null}