BayesTreePCFit {DSWE} | R Documentation |
Tree based power curve estimate
BayesTreePCFit(trainX, trainY, testX, nTree = 50)
trainX |
a matrix or dataframe to be used in modelling |
trainY |
a numeric or vector as a target |
testX |
a matrix or dataframe, to be used in computing the predictions |
nTree |
a numeric value specifying number of trees to be constructed in model |
a vector or numeric predictions on user provided test data
data = data1
trainX = as.matrix(data[c(1:100),2])
trainY = data[c(1:100),7]
testX = as.matrix(data[c(100:110),2])
Bart_prediction = BayesTreePCFit(trainX, trainY, testX)