// Copyright by Contributors #include #include #include "../helpers.h" namespace xgboost { TEST(cpu_predictor, Test) { std::unique_ptr cpu_predictor = std::unique_ptr(Predictor::Create("cpu_predictor")); std::vector> trees; trees.push_back(std::unique_ptr(new RegTree)); trees.back()->InitModel(); (*trees.back())[0].SetLeaf(1.5f); (*trees.back()).Stat(0).sum_hess = 1.0f; gbm::GBTreeModel model(0.5); model.CommitModel(std::move(trees), 0); model.param.num_output_group = 1; model.base_margin = 0; int n_row = 5; int n_col = 5; auto dmat = CreateDMatrix(n_row, n_col, 0); // Test predict batch HostDeviceVector out_predictions; cpu_predictor->PredictBatch((*dmat).get(), &out_predictions, model, 0); std::vector& out_predictions_h = out_predictions.HostVector(); for (int i = 0; i < out_predictions.Size(); i++) { ASSERT_EQ(out_predictions_h[i], 1.5); } // Test predict instance auto &batch = *(*dmat)->GetRowBatches().begin(); for (int i = 0; i < batch.Size(); i++) { std::vector instance_out_predictions; cpu_predictor->PredictInstance(batch[i], &instance_out_predictions, model); ASSERT_EQ(instance_out_predictions[0], 1.5); } // Test predict leaf std::vector leaf_out_predictions; cpu_predictor->PredictLeaf((*dmat).get(), &leaf_out_predictions, model); for (int i = 0; i < leaf_out_predictions.size(); i++) { ASSERT_EQ(leaf_out_predictions[i], 0); } // Test predict contribution std::vector out_contribution; cpu_predictor->PredictContribution((*dmat).get(), &out_contribution, model); for (int i = 0; i < out_contribution.size(); i++) { ASSERT_EQ(out_contribution[i], 1.5); } // Test predict contribution (approximate method) cpu_predictor->PredictContribution((*dmat).get(), &out_contribution, model, true); for (int i = 0; i < out_contribution.size(); i++) { ASSERT_EQ(out_contribution[i], 1.5); } delete dmat; } } // namespace xgboost