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Calculate base_score based on input labels for mae. (#8107)

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Fit an intercept as base score for abs loss.
This commit is contained in:
Jiaming Yuan
2022-09-20 20:53:54 +08:00
committed by GitHub
parent 4f42aa5f12
commit fffb1fca52
42 changed files with 999 additions and 343 deletions
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12
tests/cpp/gbm/test_gblinear.cc
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@@ -19,15 +19,11 @@ namespace gbm {
TEST(GBLinear, JsonIO) {
size_t constexpr kRows = 16, kCols = 16;
LearnerModelParam param;
param.num_feature = kCols;
param.num_output_group = 1;
Context ctx;
LearnerModelParam mparam{MakeMP(kCols, .5, 1)};
GenericParameter gparam;
gparam.Init(Args{});
std::unique_ptr<GradientBooster> gbm {
CreateTrainedGBM("gblinear", Args{}, kRows, kCols, &param, &gparam) };
std::unique_ptr<GradientBooster> gbm{
CreateTrainedGBM("gblinear", Args{}, kRows, kCols, &mparam, &ctx)};
Json model { Object() };
gbm->SaveModel(&model);
ASSERT_TRUE(IsA<Object>(model));