xgboost/R-package/tests/testthat/test_dmatrix.R
Vadim Khotilovich 693ddb860e More robust DMatrix creation from a sparse matrix (#1606)
* [CORE] DMatrix from sparse w/ explicit #col #row; safer arg types

* [python-package] c-api change for _init_from_csr _init_from_csc

* fix spaces

* [R-package] adopt the new XGDMatrixCreateFromCSCEx interface

* [CORE] redirect old sparse creators to new ones
2016-09-25 10:01:22 -07:00

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2.5 KiB
R

require(xgboost)
require(Matrix)
context("testing xgb.DMatrix functionality")
data(agaricus.test, package='xgboost')
test_data <- agaricus.test$data[1:100,]
test_label <- agaricus.test$label[1:100]
test_that("xgb.DMatrix: basic construction, saving, loading", {
# from sparse matrix
dtest1 <- xgb.DMatrix(test_data, label=test_label)
# from dense matrix
dtest2 <- xgb.DMatrix(as.matrix(test_data), label=test_label)
expect_equal(getinfo(dtest1, 'label'), getinfo(dtest2, 'label'))
# save to a local file
tmp_file <- tempfile('xgb.DMatrix_')
expect_true(xgb.DMatrix.save(dtest1, tmp_file))
# read from a local file
dtest3 <- xgb.DMatrix(tmp_file)
unlink(tmp_file)
expect_equal(getinfo(dtest1, 'label'), getinfo(dtest3, 'label'))
})
test_that("xgb.DMatrix: getinfo & setinfo", {
dtest <- xgb.DMatrix(test_data)
expect_true(setinfo(dtest, 'label', test_label))
labels <- getinfo(dtest, 'label')
expect_equal(test_label, getinfo(dtest, 'label'))
expect_true(length(getinfo(dtest, 'weight')) == 0)
expect_true(length(getinfo(dtest, 'base_margin')) == 0)
expect_true(setinfo(dtest, 'weight', test_label))
expect_true(setinfo(dtest, 'base_margin', test_label))
expect_true(setinfo(dtest, 'group', c(50,50)))
expect_error(setinfo(dtest, 'group', test_label))
# providing character values will give a warning
expect_warning( setinfo(dtest, 'weight', rep('a', nrow(test_data))) )
# any other label should error
expect_error(setinfo(dtest, 'asdf', test_label))
})
test_that("xgb.DMatrix: slice, dim", {
dtest <- xgb.DMatrix(test_data, label=test_label)
expect_equal(dim(dtest), dim(test_data))
dsub1 <- slice(dtest, 1:42)
expect_equal(nrow(dsub1), 42)
expect_equal(ncol(dsub1), ncol(test_data))
dsub2 <- dtest[1:42,]
expect_equal(dim(dtest), dim(test_data))
expect_equal(getinfo(dsub1, 'label'), getinfo(dsub2, 'label'))
})
test_that("xgb.DMatrix: colnames", {
dtest <- xgb.DMatrix(test_data, label=test_label)
expect_equal(colnames(dtest), colnames(test_data))
expect_error( colnames(dtest) <- 'asdf')
new_names <- make.names(1:ncol(test_data))
expect_silent( colnames(dtest) <- new_names)
expect_equal(colnames(dtest), new_names)
expect_silent(colnames(dtest) <- NULL)
expect_null(colnames(dtest))
})
test_that("xgb.DMatrix: nrow is correct for a very sparse matrix", {
set.seed(123)
nr <- 1000
x <- rsparsematrix(nr, 100, density=0.0005)
# we want it very sparse, so that last rows are empty
expect_lt(max(x@i), nr)
dtest <- xgb.DMatrix(x)
expect_equal(dim(dtest), dim(x))
})