| 539 | } |
| 540 | |
| 541 | void TestInitAfterLoad() { |
| 542 | std::unique_ptr<Learner> learner{Learner::Create({Xy_})}; |
| 543 | learner->SetParam("objective", "reg:absoluteerror"); |
| 544 | learner->Configure(); |
| 545 | |
| 546 | Json model{Object{}}; |
| 547 | learner->SaveModel(&model); |
| 548 | auto base_score = GetBaseScore(model); |
| 549 | ASSERT_EQ(base_score.size(), 1); |
| 550 | ASSERT_FALSE(std::isnan(base_score[0])); |
| 551 | ASSERT_EQ(base_score[0], ObjFunction::DefaultBaseScore()); |
| 552 | |
| 553 | learner.reset(Learner::Create({Xy_})); |
| 554 | learner->LoadModel(model); |
| 555 | Json config(Object{}); |
| 556 | learner->Configure(); |
| 557 | learner->SaveConfig(&config); |
| 558 | base_score = GetBaseScore(config); |
| 559 | ASSERT_EQ(base_score[0], ObjFunction::DefaultBaseScore()); |
| 560 | |
| 561 | learner->UpdateOneIter(0, Xy_); |
| 562 | learner->SaveConfig(&config); |
| 563 | base_score = GetBaseScore(config); |
| 564 | ASSERT_EQ(base_score.size(), 1); |
| 565 | ASSERT_FALSE(std::isnan(base_score[0])); |
| 566 | ASSERT_NE(base_score[0], ObjFunction::DefaultBaseScore()); |
| 567 | } |
| 568 | |
| 569 | void TestInitWithPredt() { |
| 570 | std::unique_ptr<Learner> learner{Learner::Create({Xy_})}; |
no test coverage detected