d9a47794a5
* Fix CPU hist init for sparse dataset. * Implement sparse histogram cut. * Allow empty features. * Fix windows build, don't use sparse in distributed environment. * Comments. * Smaller threshold. * Fix windows omp. * Fix msvc lambda capture. * Fix MSVC macro. * Fix MSVC initialization list. * Fix MSVC initialization list x2. * Preserve categorical feature behavior. * Rename matrix to sparse cuts. * Reuse UseGroup. * Check for categorical data when adding cut. Co-Authored-By: Philip Hyunsu Cho <chohyu01@cs.washington.edu> * Sanity check. * Fix comments. * Fix comment.
66 lines
2.1 KiB
C++
66 lines
2.1 KiB
C++
// Copyright by Contributors
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#include <gtest/gtest.h>
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#include <xgboost/c_api.h>
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#include <xgboost/data.h>
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TEST(c_api, XGDMatrixCreateFromMatDT) {
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std::vector<int> col0 = {0, -1, 3};
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std::vector<float> col1 = {-4.0f, 2.0f, 0.0f};
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const char *col0_type = "int32";
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const char *col1_type = "float32";
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std::vector<void *> data = {col0.data(), col1.data()};
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std::vector<const char *> types = {col0_type, col1_type};
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DMatrixHandle handle;
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XGDMatrixCreateFromDT(data.data(), types.data(), 3, 2, &handle,
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0);
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std::shared_ptr<xgboost::DMatrix> *dmat =
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static_cast<std::shared_ptr<xgboost::DMatrix> *>(handle);
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xgboost::MetaInfo &info = (*dmat)->Info();
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ASSERT_EQ(info.num_col_, 2);
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ASSERT_EQ(info.num_row_, 3);
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ASSERT_EQ(info.num_nonzero_, 6);
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for (const auto &batch : (*dmat)->GetRowBatches()) {
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ASSERT_EQ(batch[0][0].fvalue, 0.0f);
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ASSERT_EQ(batch[0][1].fvalue, -4.0f);
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ASSERT_EQ(batch[2][0].fvalue, 3.0f);
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ASSERT_EQ(batch[2][1].fvalue, 0.0f);
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}
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delete dmat;
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}
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TEST(c_api, XGDMatrixCreateFromMat_omp) {
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std::vector<int> num_rows = {100, 11374, 15000};
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for (auto row : num_rows) {
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int num_cols = 50;
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int num_missing = 5;
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DMatrixHandle handle;
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std::vector<float> data(num_cols * row, 1.5);
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for (int i = 0; i < num_missing; i++) {
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data[i] = std::numeric_limits<float>::quiet_NaN();
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}
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XGDMatrixCreateFromMat_omp(data.data(), row, num_cols,
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std::numeric_limits<float>::quiet_NaN(), &handle,
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0);
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std::shared_ptr<xgboost::DMatrix> *dmat =
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static_cast<std::shared_ptr<xgboost::DMatrix> *>(handle);
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xgboost::MetaInfo &info = (*dmat)->Info();
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ASSERT_EQ(info.num_col_, num_cols);
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ASSERT_EQ(info.num_row_, row);
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ASSERT_EQ(info.num_nonzero_, num_cols * row - num_missing);
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for (const auto &batch : (*dmat)->GetRowBatches()) {
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for (size_t i = 0; i < batch.Size(); i++) {
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auto inst = batch[i];
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for (auto e : inst) {
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ASSERT_EQ(e.fvalue, 1.5);
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}
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}
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}
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delete dmat;
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}
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}
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