Uses of Interface
biz.k11i.xgboost.util.FVec
Packages that use FVec
Package
Description
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Uses of FVec in biz.k11i.xgboost
Methods in biz.k11i.xgboost with parameters of type FVecModifier and TypeMethodDescriptionfloat[]Generates predictions for given feature vector.float[]Generates predictions for given feature vector.float[]Generates predictions for given feature vector.float[]Generates predictions for given feature vector.float[]Generates predictions for given feature vector.int[]Predictor.predictLeaf(FVec feat) Predicts leaf index of each tree.int[]Predictor.predictLeaf(FVec feat, int ntree_limit) Predicts leaf index of each tree.String[]Predictor.predictLeafPath(FVec feat) Predicts path to leaf of each tree.String[]Predictor.predictLeafPath(FVec feat, int ntree_limit) Predicts path to leaf of each tree.(package private) float[]Predictor.predictRaw(FVec feat, int ntree_limit, float base_score) floatPredictor.predictSingle(FVec feat) Generates a prediction for given feature vector.floatPredictor.predictSingle(FVec feat, boolean output_margin) Generates a prediction for given feature vector.floatPredictor.predictSingle(FVec feat, boolean output_margin, int ntree_limit) Generates a prediction for given feature vector.(package private) floatPredictor.predictSingleRaw(FVec feat, int ntree_limit) -
Uses of FVec in biz.k11i.xgboost.gbm
Methods in biz.k11i.xgboost.gbm with parameters of type FVecModifier and TypeMethodDescription(package private) float(package private) float(package private) floatfloat[]float[]float[]Generates predictions for given feature vector.int[]GBLinear.predictLeaf(FVec feat, int ntree_limit) int[]GBTree.predictLeaf(FVec feat, int ntree_limit) int[]GradBooster.predictLeaf(FVec feat, int ntree_limit) Predicts the leaf index of each tree.String[]GBLinear.predictLeafPath(FVec feat, int ntree_limit) String[]GBTree.predictLeafPath(FVec feat, int ntree_limit) String[]GradBooster.predictLeafPath(FVec feat, int ntree_limit) Predicts the path to leaf of each tree.floatGBLinear.predictSingle(FVec feat, int ntree_limit, float base_score) floatGBTree.predictSingle(FVec feat, int ntree_limit, float base_score) floatGradBooster.predictSingle(FVec feat, int ntree_limit, float base_score) Generates a prediction for given feature vector. -
Uses of FVec in biz.k11i.xgboost.tree
Methods in biz.k11i.xgboost.tree with parameters of type FVecModifier and TypeMethodDescriptionintRegTree.getLeafIndex(FVec feat) Retrieves nodes from root to leaf and returns leaf index.intRegTreeImpl.getLeafIndex(FVec feat) Retrieves nodes from root to leaf and returns leaf index.voidRegTree.getLeafPath(FVec feat, StringBuilder sb) Retrieves nodes from root to leaf and returns path to leaf.voidRegTreeImpl.getLeafPath(FVec feat, StringBuilder sb) Retrieves nodes from root to leaf and returns path to leaf.floatRegTree.getLeafValue(FVec feat, int root_id) Retrieves nodes from root to leaf and returns leaf value.floatRegTreeImpl.getLeafValue(FVec feat, int root_id) Retrieves nodes from root to leaf and returns leaf value.int -
Uses of FVec in biz.k11i.xgboost.util
Classes in biz.k11i.xgboost.util that implement FVecModifier and TypeClassDescription(package private) static class(package private) static class(package private) classMethods in biz.k11i.xgboost.util that return FVec