Uses of Interface
biz.k11i.xgboost.util.FVec
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Packages that use FVec Package Description biz.k11i.xgboost biz.k11i.xgboost.gbm biz.k11i.xgboost.tree biz.k11i.xgboost.util -
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Uses of FVec in biz.k11i.xgboost
Methods in biz.k11i.xgboost with parameters of type FVec Modifier and Type Method Description float[]
Predictor. predict(FVec feat)
Generates predictions for given feature vector.float[]
Predictor. predict(FVec feat, boolean output_margin)
Generates predictions for given feature vector.float[]
Predictor. predict(FVec feat, boolean output_margin, int ntree_limit)
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.(package private) float[]
Predictor. predictRaw(FVec feat, int ntree_limit)
float
Predictor. predictSingle(FVec feat)
Generates a prediction for given feature vector.float
Predictor. predictSingle(FVec feat, boolean output_margin)
Generates a prediction for given feature vector.float
Predictor. predictSingle(FVec feat, boolean output_margin, int ntree_limit)
Generates a prediction for given feature vector.(package private) float
Predictor. predictSingleRaw(FVec feat, int ntree_limit)
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Uses of FVec in biz.k11i.xgboost.gbm
Methods in biz.k11i.xgboost.gbm with parameters of type FVec Modifier and Type Method Description (package private) float
Dart. pred(FVec feat, int bst_group, int root_index, int ntree_limit)
(package private) float
GBLinear. pred(FVec feat, int gid)
(package private) float
GBTree. pred(FVec feat, int bst_group, int root_index, int ntree_limit)
float[]
GBLinear. predict(FVec feat, int ntree_limit)
float[]
GBTree. predict(FVec feat, int ntree_limit)
float[]
GradBooster. predict(FVec feat, int ntree_limit)
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.float
GBLinear. predictSingle(FVec feat, int ntree_limit)
float
GBTree. predictSingle(FVec feat, int ntree_limit)
float
GradBooster. predictSingle(FVec feat, int ntree_limit)
Generates a prediction for given feature vector.(package private) int[]
GBTree. predPath(FVec feat, int root_index, int ntree_limit)
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Uses of FVec in biz.k11i.xgboost.tree
Methods in biz.k11i.xgboost.tree with parameters of type FVec Modifier and Type Method Description int
RegTree. getLeafIndex(FVec feat, int root_id)
Retrieves nodes from root to leaf and returns leaf index.float
RegTree. getLeafValue(FVec feat, int root_id)
Retrieves nodes from root to leaf and returns leaf value.(package private) int
RegTree.Node. next(FVec feat)
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Uses of FVec in biz.k11i.xgboost.util
Classes in biz.k11i.xgboost.util that implement FVec Modifier and Type Class Description (package private) static class
FVecArrayImpl.FVecDoubleArrayImpl
(package private) static class
FVecArrayImpl.FVecFloatArrayImpl
(package private) class
FVecMapImpl
Methods in biz.k11i.xgboost.util that return FVec Modifier and Type Method Description static FVec
FVec.Transformer. fromArray(double[] values, boolean treatsZeroAsNA)
Builds FVec from dense vector.static FVec
FVec.Transformer. fromArray(float[] values, boolean treatsZeroAsNA)
Builds FVec from dense vector.static FVec
FVec.Transformer. fromMap(java.util.Map<java.lang.Integer,? extends java.lang.Number> map)
Builds FVec from map.
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