Uses of Interface
ml.dmlc.xgboost4j.java.IEvaluation

Packages that use IEvaluation

Package	Description
ml.dmlc.xgboost4j.java

Uses of IEvaluation in ml.dmlc.xgboost4j.java

Methods in ml.dmlc.xgboost4j.java with parameters of type IEvaluation

Modifier and Type	Method	Description
static String[]	XGBoost.crossValidation(DMatrix data, Map<String,Object> params, int round, int nfold, String[] metrics, IObjective obj, IEvaluation eval)	Cross-validation with given parameters.
String	Booster.evalSet(DMatrix[] evalMatrixs, String[] evalNames, IEvaluation eval)	Evaluate the Booster model given customized Evaluation class
String	Booster.evalSet(DMatrix[] evalMatrixs, String[] evalNames, IEvaluation eval, float[] metricsOut)
static Booster	XGBoost.train(DMatrix dtrain, Map<String,Object> params, int round, Map<String,DMatrix> watches, float[][] metrics, IObjective obj, IEvaluation eval, int earlyStoppingRound)	Train a booster given parameters.
static Booster	XGBoost.train(DMatrix dtrain, Map<String,Object> params, int round, Map<String,DMatrix> watches, float[][] metrics, IObjective obj, IEvaluation eval, int earlyStoppingRounds, Booster booster)	Train a booster given parameters.
static Booster	XGBoost.train(DMatrix dtrain, Map<String,Object> params, int round, Map<String,DMatrix> watches, IObjective obj, IEvaluation eval)	Train a booster given parameters.
static Booster	XGBoost.trainAndSaveCheckpoint(DMatrix dtrain, Map<String,Object> params, int numRounds, Map<String,DMatrix> watches, float[][] metrics, IObjective obj, IEvaluation eval, int earlyStoppingRounds, Booster booster, int checkpointInterval, String checkpointPath, org.apache.hadoop.fs.FileSystem fs)