XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable. It implements machine learning algorithms under the Gradient Boosting framework.
| Label | Latest Version |
|---|---|
| main | 0.90 |
| QA-ready | 0.71 |
| QA-ready-2018-Q3 | 0.71 |
| ptf_2018_q3 | 0.71 |
| wmlz-QA-Ready | 0.82 |
| q2_fail | 0.71 |
| ptf_2019_q2 | 0.71 |
| QA-ready-ibm-2019-q3 | 0.82 |
| ptf_2019_q3_2 | 0.82 |
| QA-ready-ibm-2019-q4 | 0.82 |
| ptf_2019_q4_ibm | 0.82 |
| mlz-qa-ready | 0.82 |
| interaction-fix | 0.82 |
| endianess-fix-pt1 | 0.82 |
| endianess-fix-pt1-and-2 | 0.82 |
| ptf_2020_q1_ibm | 0.82 |
| ptf_2020_q1_py | 0.82 |
| ptf_2020_q2 | 0.90 |
