add test module in R
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@ -23,7 +23,8 @@ Suggests:
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ggplot2 (>= 1.0.0),
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DiagrammeR (>= 0.6),
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Ckmeans.1d.dp (>= 3.3.1),
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vcd (>= 1.3)
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vcd (>= 1.3),
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testthat
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Depends:
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R (>= 2.10)
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Imports:
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4
R-package/tests/testthat.R
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4
R-package/tests/testthat.R
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@ -0,0 +1,4 @@
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library(testthat)
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library(xgboost)
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test_check("xgboost")
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34
R-package/tests/testthat/test_basic.R
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34
R-package/tests/testthat/test_basic.R
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@ -0,0 +1,34 @@
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require(xgboost)
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context("basic functions")
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test_that("data loading", {
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data(agaricus.train, package='xgboost')
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data(agaricus.test, package='xgboost')
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})
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test_that("train and prediction",{
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train = agaricus.train
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test = agaricus.test
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bst = xgboost(data = train$data, label = train$label, max.depth = 2,
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eta = 1, nthread = 2, nround = 2, objective = "binary:logistic")
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pred = predict(bst, test$data)
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})
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test_that("early stopping", {
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res = xgb.cv(data = train$data, label = train$label, max.depth = 2, nfold = 5,
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eta = 0.3, nthread = 2, nround = 20, objective = "binary:logistic",
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early.stop.round = 3, maximize = FALSE)
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expect_true(nrow(res)<20)
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bst = xgboost(data = train$data, label = train$label, max.depth = 2,
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eta = 0.3, nthread = 2, nround = 20, objective = "binary:logistic",
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early.stop.round = 3, maximize = FALSE)
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pred = predict(bst, test$data)
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})
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test_that("save_period", {
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bst = xgboost(data = train$data, label = train$label, max.depth = 2,
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eta = 0.3, nthread = 2, nround = 20, objective = "binary:logistic",
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save_period = 10, save_name = "xgb.model")
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pred = predict(bst, test$data)
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})
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