Uses of Interface
ml.dmlc.xgboost4j.java.IEvaluation
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Uses of IEvaluation in ml.dmlc.xgboost4j.java
Methods in ml.dmlc.xgboost4j.java with parameters of type IEvaluationModifier and TypeMethodDescriptionstatic String[]
XGBoost.crossValidation
(DMatrix data, Map<String, Object> params, int round, int nfold, String[] metrics, IObjective obj, IEvaluation eval) Cross-validation with given parameters.XGBoost.CVPack.eval
(IEvaluation eval) evaluationBooster.evalSet
(DMatrix[] evalMatrixs, String[] evalNames, IEvaluation eval) evaluate with given customized Evaluation classBooster.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.