All Classes and Interfaces
Class
Description
Booster for xgboost, this is a model API that support interactive build of a XGBoost Model
Supported feature importance types
WEIGHT = Number of nodes that a feature was used to determine a split
GAIN = Average information gain per split for a feature
COVER = Average cover per split for a feature
TOTAL_GAIN = Total information gain over all splits of a feature
TOTAL_COVER = Total cover over all splits of a feature
A mini-batch of data that can be converted to DMatrix.
DMatrix for xgboost.
sparse matrix type (CSR or CSC)
interface for customized evaluation
interface for customize Object function
Interface for Rabit tracker implementations with three public methods:
- start(timeout): Start the Rabit tracker awaiting for worker connections, with a given
timeout value (in milliseconds.)
- getWorkerEnvs(): Return the environment variables needed to initialize Rabit clients.
class to load native library
Rabit global class for synchronization.
Java implementation of the Rabit tracker to coordinate distributed workers.
trainer for xgboost
cross validation package for xgb
custom error class for xgboost
xgboost JNI functions
change 2015-7-6: *use a long[] (length=1) as container of handle to get the output DMatrix or Booster