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Make sure metrics work with column-wise distributed training (#9020)

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This commit is contained in:
Rong Ou
2023-04-17 12:48:23 -07:00
committed by GitHub
parent 191d0aa5cf
commit ba9d24ff7b
16 changed files with 1183 additions and 811 deletions
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9
tests/cpp/helpers.cc
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@@ -167,18 +167,20 @@ xgboost::bst_float GetMetricEval(xgboost::Metric* metric,
xgboost::HostDeviceVector<xgboost::bst_float> const& preds,
std::vector<xgboost::bst_float> labels,
std::vector<xgboost::bst_float> weights,
std::vector<xgboost::bst_uint> groups) {
std::vector<xgboost::bst_uint> groups,
xgboost::DataSplitMode data_split_mode) {
return GetMultiMetricEval(
metric, preds,
xgboost::linalg::Tensor<float, 2>{labels.begin(), labels.end(), {labels.size()}, -1}, weights,
groups);
groups, data_split_mode);
}
double GetMultiMetricEval(xgboost::Metric* metric,
xgboost::HostDeviceVector<xgboost::bst_float> const& preds,
xgboost::linalg::Tensor<float, 2> const& labels,
std::vector<xgboost::bst_float> weights,
std::vector<xgboost::bst_uint> groups) {
std::vector<xgboost::bst_uint> groups,
xgboost::DataSplitMode data_split_mode) {
std::shared_ptr<xgboost::DMatrix> p_fmat{xgboost::RandomDataGenerator{0, 0, 0}.GenerateDMatrix()};
auto& info = p_fmat->Info();
info.num_row_ = labels.Shape(0);
@@ -186,6 +188,7 @@ double GetMultiMetricEval(xgboost::Metric* metric,
info.labels.Data()->Copy(*labels.Data());
info.weights_.HostVector() = weights;
info.group_ptr_ = groups;
info.data_split_mode = data_split_mode;
return metric->Evaluate(preds, p_fmat);
}