Hendrik/xgboost
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

Use ellpack for prediction only when sparsepage doesn't exist. (#5504)

Browse Source
This commit is contained in:
Jiaming Yuan
2020-04-10 12:15:46 +08:00
committed by GitHub
parent ad826e913f
commit 6671b42dd4
35 changed files with 166 additions and 116 deletions
Download Patch File Download Diff File Expand all files Collapse all files

6
tests/cpp/common/test_column_matrix.cc
View File

@@ -13,7 +13,7 @@ TEST(DenseColumn, Test) {
static_cast<uint64_t>(std::numeric_limits<uint16_t>::max()) + 1,
static_cast<uint64_t>(std::numeric_limits<uint16_t>::max()) + 2};
for (size_t max_num_bin : max_num_bins) {
auto dmat = RandomDataGenerator(100, 10, 0.0).GenerateDMatix();
auto dmat = RandomDataGenerator(100, 10, 0.0).GenerateDMatrix();
GHistIndexMatrix gmat;
gmat.Init(dmat.get(), max_num_bin);
ColumnMatrix column_matrix;
@@ -61,7 +61,7 @@ TEST(SparseColumn, Test) {
static_cast<uint64_t>(std::numeric_limits<uint16_t>::max()) + 1,
static_cast<uint64_t>(std::numeric_limits<uint16_t>::max()) + 2};
for (size_t max_num_bin : max_num_bins) {
auto dmat = RandomDataGenerator(100, 1, 0.85).GenerateDMatix();
auto dmat = RandomDataGenerator(100, 1, 0.85).GenerateDMatrix();
GHistIndexMatrix gmat;
gmat.Init(dmat.get(), max_num_bin);
ColumnMatrix column_matrix;
@@ -102,7 +102,7 @@ TEST(DenseColumnWithMissing, Test) {
static_cast<uint64_t>(std::numeric_limits<uint16_t>::max()) + 1,
static_cast<uint64_t>(std::numeric_limits<uint16_t>::max()) + 2 };
for (size_t max_num_bin : max_num_bins) {
auto dmat = RandomDataGenerator(100, 1, 0.5).GenerateDMatix();
auto dmat = RandomDataGenerator(100, 1, 0.5).GenerateDMatrix();
GHistIndexMatrix gmat;
gmat.Init(dmat.get(), max_num_bin);
ColumnMatrix column_matrix;