Here is a list of all modules:
[detail level 12]
| Library | |
| ▼DMatrix | DMatrix is the basic data storage for XGBoost used by all XGBoost algorithms including both training, prediction and explanation. There are a few variants of DMatrix including normal DMatrix, which is a CSR matrix, QuantileDMatrix, which is used by histogram-based tree methods for saving memory, and lastly the experimental external-memory-based DMatrix, which reads data in batches during training. For the last two variants, see the Streaming group |
| Streaming | Quantile DMatrix and external memory DMatrix can be created from batches of data |
| ▼Booster | The Booster class is the gradient-boosted model for XGBoost |
| Prediction | These functions are used for running prediction and explanation algorithms |
| Serialization | There are multiple ways to serialize a Booster object depending on the use case |
| Collective | Experimental support for exposing internal communicator in XGBoost |
