xgboost/demo/guide-R/boost_from_prediction.R
2014-09-06 10:19:46 -07:00

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R
Executable File

require(xgboost)
data(agaricus.train)
data(agaricus.test)
trainX = agaricus.train$data
trainY = agaricus.train$label
testX = agaricus.test$data
testY = agaricus.test$label
dtrain <- xgb.DMatrix(trainX, label=trainY)
dtest <- xgb.DMatrix(testX, label=testY)
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 )