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R-callbacks tests + other tests brushup

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This commit is contained in:
Vadim Khotilovich
2016-06-09 02:53:37 -05:00
parent 2e0ffcc303
commit f34f9fb9f7
6 changed files with 372 additions and 61 deletions
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58
R-package/tests/testthat/test_custom_objective.R
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@@ -2,35 +2,50 @@ context('Test models with custom objective')
require(xgboost)
set.seed(1994)
data(agaricus.train, package='xgboost')
data(agaricus.test, package='xgboost')
dtrain <- xgb.DMatrix(agaricus.train$data, label = agaricus.train$label)
dtest <- xgb.DMatrix(agaricus.test$data, label = agaricus.test$label)
watchlist <- list(eval = dtest, train = dtrain)
logregobj <- function(preds, dtrain) {
labels <- getinfo(dtrain, "label")
preds <- 1 / (1 + exp(-preds))
grad <- preds - labels
hess <- preds * (1 - preds)
return(list(grad = grad, hess = hess))
}
evalerror <- function(preds, dtrain) {
labels <- getinfo(dtrain, "label")
err <- as.numeric(sum(labels != (preds > 0))) / length(labels)
return(list(metric = "error", value = err))
}
param <- list(max.depth=2, eta=1, nthread = 2,
objective=logregobj, eval_metric=evalerror)
num_round <- 2
test_that("custom objective works", {
watchlist <- list(eval = dtest, train = dtrain)
num_round <- 2
logregobj <- function(preds, dtrain) {
labels <- getinfo(dtrain, "label")
preds <- 1 / (1 + exp(-preds))
grad <- preds - labels
hess <- preds * (1 - preds)
return(list(grad = grad, hess = hess))
}
evalerror <- function(preds, dtrain) {
labels <- getinfo(dtrain, "label")
err <- as.numeric(sum(labels != (preds > 0))) / length(labels)
return(list(metric = "error", value = err))
}
param <- list(max.depth=2, eta=1, nthread = 2, silent=1,
objective=logregobj, eval_metric=evalerror)
bst <- xgb.train(param, dtrain, num_round, watchlist)
expect_equal(class(bst), "xgb.Booster")
expect_equal(length(bst$raw), 1064)
expect_true(!is.null(bst$evaluation_log))
expect_true(!is.null(bst$evaluation_log$eval_error))
expect_lt(bst$evaluation_log[num_round, eval_error], 0.03)
})
test_that("custom objective in CV works", {
cv <- xgb.cv(param, dtrain, num_round, nfold=10, verbose=FALSE)
expect_true(!is.null(cv$evaluation_log))
expect_equal(dim(cv$evaluation_log), c(2, 5))
expect_lt(cv$evaluation_log[num_round, test_error_mean], 0.03)
})
test_that("custom objective using DMatrix attr works", {
attr(dtrain, 'label') <- getinfo(dtrain, 'label')
logregobjattr <- function(preds, dtrain) {
@@ -40,8 +55,7 @@ test_that("custom objective works", {
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)
param$objective = logregobjattr
bst <- xgb.train(param, dtrain, num_round, watchlist)
expect_equal(class(bst), "xgb.Booster")
expect_equal(length(bst$raw), 1064)