Microsoft.VisualBasic.MachineLearning.XGBoost 1.0.9753.4776.

Namespaces 9 Types 26 Members 116

01 Namespaces

Microsoft.VisualBasic.MachineLearning.XGBoost

Type	Summary	Members
Predictor	Predicts using the Xgboost model.	11

Microsoft.VisualBasic.MachineLearning.XGBoost.gbm

Type	Summary	Members
Dart	Gradient boosted DART tree implementation.	1
GBLinear	Linear booster implementation	4
GBTree	Gradient boosted tree implementation.	4
GradBooster	Interface of gradient boosting model.	5
GradBooster_Factory		1

Microsoft.VisualBasic.MachineLearning.XGBoost.learner

Type	Summary	Members
ObjFunction	Objective function implementations.	5
RegLossObjLogistic	Logistic regression.	0
SoftmaxMultiClassObjClassify	Multiclass classification.	0
SoftmaxMultiClassObjProb	Multiclass classification (predicted probability).	0

Microsoft.VisualBasic.MachineLearning.XGBoost.Predictor

Type	Summary	Members
ModelParam	Parameters.	0

Microsoft.VisualBasic.MachineLearning.XGBoost.spark

Type	Summary	Members
SparkModelParam		8

Microsoft.VisualBasic.MachineLearning.XGBoost.train

Type	Summary	Members
AttributeList		7
Data		2
GBM	Tiny implement of Gradient Boosting tree It is a Tiny implement of Gradient Boosting tree, based on XGBoost's scoring function and SLIQ's efficient tree building algorithm.	2
ModelSerializer		2
Tree		5
TreeNode		30

Microsoft.VisualBasic.MachineLearning.XGBoost.tree

Type	Summary	Members
Node		1
RegTree	Regression tree.	3
RTreeNodeStat	Statistics each node in tree.	0

Microsoft.VisualBasic.MachineLearning.XGBoost.tree.RegTree

Type	Summary	Members
Param	Parameters.	0

Microsoft.VisualBasic.MachineLearning.XGBoost.util

Type	Summary	Members
FVec	Interface of feature vector.	1
FVecMapImpl	稀疏矩阵	0
FVecTransformer	构建矩阵所使用的方法	6
ModelReader	Reads the Xgboost model from stream.	18