xgboost/tests/cpp/data/test_metainfo.cc
2020-02-18 16:49:17 +13:00

144 lines
5.6 KiB
C++

// Copyright 2016-2020 by Contributors
#include <dmlc/io.h>
#include <dmlc/filesystem.h>
#include <xgboost/data.h>
#include <string>
#include <memory>
#include "../../../src/common/version.h"
#include "../helpers.h"
#include "xgboost/base.h"
TEST(MetaInfo, GetSet) {
xgboost::MetaInfo info;
double double2[2] = {1.0, 2.0};
EXPECT_EQ(info.labels_.Size(), 0);
info.SetInfo("label", double2, xgboost::DataType::kFloat32, 2);
EXPECT_EQ(info.labels_.Size(), 2);
float float2[2] = {1.0f, 2.0f};
EXPECT_EQ(info.GetWeight(1), 1.0f)
<< "When no weights are given, was expecting default value 1";
info.SetInfo("weight", float2, xgboost::DataType::kFloat32, 2);
EXPECT_EQ(info.GetWeight(1), 2.0f);
uint32_t uint32_t2[2] = {1U, 2U};
EXPECT_EQ(info.base_margin_.Size(), 0);
info.SetInfo("base_margin", uint32_t2, xgboost::DataType::kUInt32, 2);
EXPECT_EQ(info.base_margin_.Size(), 2);
uint64_t uint64_t2[2] = {1U, 2U};
EXPECT_EQ(info.group_ptr_.size(), 0);
info.SetInfo("group", uint64_t2, xgboost::DataType::kUInt64, 2);
ASSERT_EQ(info.group_ptr_.size(), 3);
EXPECT_EQ(info.group_ptr_[2], 3);
info.Clear();
ASSERT_EQ(info.group_ptr_.size(), 0);
}
TEST(MetaInfo, SaveLoadBinary) {
xgboost::MetaInfo info;
uint64_t constexpr kRows { 64 }, kCols { 32 };
auto generator = []() {
static float f = 0;
return f++;
};
std::vector<float> values (kRows);
std::generate(values.begin(), values.end(), generator);
info.SetInfo("label", values.data(), xgboost::DataType::kFloat32, kRows);
info.SetInfo("weight", values.data(), xgboost::DataType::kFloat32, kRows);
info.SetInfo("base_margin", values.data(), xgboost::DataType::kFloat32, kRows);
info.num_row_ = kRows;
info.num_col_ = kCols;
dmlc::TemporaryDirectory tempdir;
const std::string tmp_file = tempdir.path + "/metainfo.binary";
{
std::unique_ptr<dmlc::Stream> fs {
dmlc::Stream::Create(tmp_file.c_str(), "w")
};
info.SaveBinary(fs.get());
}
{
// Round-trip test
std::unique_ptr<dmlc::Stream> fs {
dmlc::Stream::Create(tmp_file.c_str(), "r")
};
xgboost::MetaInfo inforead;
inforead.LoadBinary(fs.get());
ASSERT_EQ(inforead.num_row_, kRows);
EXPECT_EQ(inforead.num_row_, info.num_row_);
EXPECT_EQ(inforead.num_col_, info.num_col_);
EXPECT_EQ(inforead.num_nonzero_, info.num_nonzero_);
ASSERT_EQ(inforead.labels_.HostVector(), values);
EXPECT_EQ(inforead.labels_.HostVector(), info.labels_.HostVector());
EXPECT_EQ(inforead.group_ptr_, info.group_ptr_);
EXPECT_EQ(inforead.weights_.HostVector(), info.weights_.HostVector());
EXPECT_EQ(inforead.base_margin_.HostVector(), info.base_margin_.HostVector());
}
}
TEST(MetaInfo, LoadQid) {
dmlc::TemporaryDirectory tempdir;
std::string tmp_file = tempdir.path + "/qid_test.libsvm";
{
std::unique_ptr<dmlc::Stream> fs(
dmlc::Stream::Create(tmp_file.c_str(), "w"));
dmlc::ostream os(fs.get());
os << R"qid(3 qid:1 1:1 2:1 3:0 4:0.2 5:0
2 qid:1 1:0 2:0 3:1 4:0.1 5:1
1 qid:1 1:0 2:1 3:0 4:0.4 5:0
1 qid:1 1:0 2:0 3:1 4:0.3 5:0
1 qid:2 1:0 2:0 3:1 4:0.2 5:0
2 qid:2 1:1 2:0 3:1 4:0.4 5:0
1 qid:2 1:0 2:0 3:1 4:0.1 5:0
1 qid:2 1:0 2:0 3:1 4:0.2 5:0
2 qid:3 1:0 2:0 3:1 4:0.1 5:1
3 qid:3 1:1 2:1 3:0 4:0.3 5:0
4 qid:3 1:1 2:0 3:0 4:0.4 5:1
1 qid:3 1:0 2:1 3:1 4:0.5 5:0)qid";
os.set_stream(nullptr);
}
std::unique_ptr<xgboost::DMatrix> dmat(
xgboost::DMatrix::Load(tmp_file, true, false, "libsvm"));
const xgboost::MetaInfo& info = dmat->Info();
const std::vector<xgboost::bst_uint> expected_group_ptr{0, 4, 8, 12};
CHECK(info.group_ptr_ == expected_group_ptr);
const std::vector<xgboost::bst_row_t> expected_offset{
0, 5, 10, 15, 20, 25, 30, 35, 40, 45, 50, 55, 60
};
const std::vector<xgboost::Entry> expected_data{
xgboost::Entry(1, 1), xgboost::Entry(2, 1), xgboost::Entry(3, 0),
xgboost::Entry(4, 0.2), xgboost::Entry(5, 0), xgboost::Entry(1, 0),
xgboost::Entry(2, 0), xgboost::Entry(3, 1), xgboost::Entry(4, 0.1),
xgboost::Entry(5, 1), xgboost::Entry(1, 0), xgboost::Entry(2, 1),
xgboost::Entry(3, 0), xgboost::Entry(4, 0.4), xgboost::Entry(5, 0),
xgboost::Entry(1, 0), xgboost::Entry(2, 0), xgboost::Entry(3, 1),
xgboost::Entry(4, 0.3), xgboost::Entry(5, 0), xgboost::Entry(1, 0),
xgboost::Entry(2, 0), xgboost::Entry(3, 1), xgboost::Entry(4, 0.2),
xgboost::Entry(5, 0), xgboost::Entry(1, 1), xgboost::Entry(2, 0),
xgboost::Entry(3, 1), xgboost::Entry(4, 0.4), xgboost::Entry(5, 0),
xgboost::Entry(1, 0), xgboost::Entry(2, 0), xgboost::Entry(3, 1),
xgboost::Entry(4, 0.1), xgboost::Entry(5, 0), xgboost::Entry(1, 0),
xgboost::Entry(2, 0), xgboost::Entry(3, 1), xgboost::Entry(4, 0.2),
xgboost::Entry(5, 0), xgboost::Entry(1, 0), xgboost::Entry(2, 0),
xgboost::Entry(3, 1), xgboost::Entry(4, 0.1), xgboost::Entry(5, 1),
xgboost::Entry(1, 1), xgboost::Entry(2, 1), xgboost::Entry(3, 0),
xgboost::Entry(4, 0.3), xgboost::Entry(5, 0), xgboost::Entry(1, 1),
xgboost::Entry(2, 0), xgboost::Entry(3, 0), xgboost::Entry(4, 0.4),
xgboost::Entry(5, 1), xgboost::Entry(1, 0), xgboost::Entry(2, 1),
xgboost::Entry(3, 1), xgboost::Entry(4, 0.5), {5, 0}};
for (const auto &batch : dmat->GetBatches<xgboost::SparsePage>()) {
CHECK_EQ(batch.base_rowid, 0);
CHECK(batch.offset.HostVector() == expected_offset);
CHECK(batch.data.HostVector() == expected_data);
}
}