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Merge remote-tracking branch 'dmlc/master'

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El Potaeto
2015-08-05 12:07:41 +02:00
parent 951ba267cf 752cf4c95d
commit 740db8ff02
62 changed files with 1802 additions and 834 deletions
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8
R-package/demo/custom_objective.R
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@@ -33,7 +33,7 @@ evalerror <- function(preds, dtrain) {
return(list(metric = "error", value = err))
}
param <- list(max.depth=2,eta=1,nthread = 2, silent=1,
param <- list(max.depth=2, eta=1, nthread = 2, silent=1,
objective=logregobj, eval_metric=evalerror)
print ('start training with user customized objective')
# training with customized objective, we can also do step by step training
@@ -57,9 +57,9 @@ logregobjattr <- function(preds, dtrain) {
hess <- preds * (1 - preds)
return(list(grad = grad, hess = hess))
}
param <- list(max.depth=2, eta=1, nthread = 2, silent=1,
objective=logregobjattr, eval_metric=evalerror)
print ('start training with user customized objective, with additional attributes in DMatrix')
# training with customized objective, we can also do step by step training
# simply look at xgboost.py's implementation of train
bst <- xgb.train(param, dtrain, num_round, watchlist,
objective=logregobj, eval_metric=evalerror)
bst <- xgb.train(param, dtrain, num_round, watchlist)