30 lines
835 B
R
Executable File
30 lines
835 B
R
Executable File
require(xgboost)
|
|
|
|
data(iris)
|
|
iris[,5] <- as.numeric(iris[,5]=='setosa')
|
|
iris <- as.matrix(iris)
|
|
set.seed(20)
|
|
test_ind <- sample(1:nrow(iris),50)
|
|
train_ind <- setdiff(1:nrow(iris),test_ind)
|
|
dtrain <- xgb.DMatrix(iris[train_ind,1:4], label=iris[train_ind,5])
|
|
dtest <- xgb.DMatrix(iris[test_ind,1:4], label=iris[test_ind,5])
|
|
|
|
|
|
watchlist <- list(eval = dtest, train = dtrain)
|
|
print('start running example to start from a initial prediction\n')
|
|
param <- list(max_depth=2,eta=1,silent=1,objective='binary:logistic')
|
|
bst <- xgb.train( param, dtrain, 1, watchlist )
|
|
|
|
ptrain <- predict(bst, dtrain, outputmargin=TRUE)
|
|
ptest <- predict(bst, dtest, outputmargin=TRUE)
|
|
# dtrain.set_base_margin(ptrain)
|
|
# dtest.set_base_margin(ptest)
|
|
|
|
|
|
cat('this is result of running from initial prediction\n')
|
|
bst <- xgb.train( param, dtrain, 1, watchlist )
|
|
|
|
|
|
|
|
|