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Prepare external memory support for hist. (#7638)

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This PR prepares the GHistIndexMatrix to host the column matrix which is used by the hist tree method by accepting sparse_threshold parameter.

Some cleanups are made to ensure the correct batch param is being passed into DMatrix along with some additional tests for correctness of SimpleDMatrix.
This commit is contained in:
Jiaming Yuan
2022-02-10 16:58:02 +08:00
committed by GitHub
parent 87c01f49d8
commit 2775c2a1ab
24 changed files with 368 additions and 201 deletions
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7
tests/cpp/tree/hist/test_evaluate_splits.cc
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@@ -31,8 +31,7 @@ template <typename GradientSumT> void TestEvaluateSplits() {
size_t constexpr kMaxBins = 4;
// dense, no missing values
GHistIndexMatrix gmat(dmat.get(), kMaxBins, false, common::OmpGetNumThreads(0));
GHistIndexMatrix gmat(dmat.get(), kMaxBins, 0.5, false, common::OmpGetNumThreads(0));
common::RowSetCollection row_set_collection;
std::vector<size_t> &row_indices = *row_set_collection.Data();
row_indices.resize(kRows);
@@ -127,7 +126,7 @@ TEST(HistEvaluator, CategoricalPartition) {
auto evaluator = HistEvaluator<GradientSumT, CPUExpandEntry>{
param, dmat->Info(), n_threads, sampler, ObjInfo{ObjInfo::kRegression}};
for (auto const &gmat : dmat->GetBatches<GHistIndexMatrix>({GenericParameter::kCpuId, 32})) {
for (auto const &gmat : dmat->GetBatches<GHistIndexMatrix>({32, param.sparse_threshold})) {
common::HistCollection<GradientSumT> hist;
std::vector<CPUExpandEntry> entries(1);
@@ -212,7 +211,7 @@ auto CompareOneHotAndPartition(bool onehot) {
param, dmat->Info(), n_threads, sampler, ObjInfo{ObjInfo::kRegression}};
std::vector<CPUExpandEntry> entries(1);
for (auto const &gmat : dmat->GetBatches<GHistIndexMatrix>({GenericParameter::kCpuId, 32})) {
for (auto const &gmat : dmat->GetBatches<GHistIndexMatrix>({32, param.sparse_threshold})) {
common::HistCollection<GradientSumT> hist;
entries.front().nid = 0;