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Support learning rate for zero-hessian objectives. (#8866)

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This commit is contained in:
Jiaming Yuan
2023-03-06 20:33:28 +08:00
committed by GitHub
parent 173096a6a7
commit 228a46e8ad
34 changed files with 464 additions and 434 deletions
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7
tests/cpp/tree/test_prediction_cache.cc
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@@ -7,6 +7,7 @@
#include <memory>
#include "../../../src/tree/param.h" // for TrainParam
#include "../helpers.h"
namespace xgboost {
@@ -75,9 +76,11 @@ class TestPredictionCache : public ::testing::Test {
RegTree tree;
std::vector<RegTree *> trees{&tree};
auto gpair = GenerateRandomGradients(n_samples_);
updater->Configure(Args{{"max_bin", "64"}});
tree::TrainParam param;
param.UpdateAllowUnknown(Args{{"max_bin", "64"}});
std::vector<HostDeviceVector<bst_node_t>> position(1);
updater->Update(&gpair, Xy_.get(), position, trees);
updater->Update(&param, &gpair, Xy_.get(), position, trees);
HostDeviceVector<float> out_prediction_cached;
out_prediction_cached.SetDevice(ctx.gpu_id);
out_prediction_cached.Resize(n_samples_);