Package ml.dmlc.xgboost4j.java


package ml.dmlc.xgboost4j.java
  • 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