f0064c07ab
* Refactor configuration [Part II].
* General changes:
** Remove `Init` methods to avoid ambiguity.
** Remove `Configure(std::map<>)` to avoid redundant copying and prepare for
parameter validation. (`std::vector` is returned from `InitAllowUnknown`).
** Add name to tree updaters for easier debugging.
* Learner changes:
** Make `LearnerImpl` the only source of configuration.
All configurations are stored and carried out by `LearnerImpl::Configure()`.
** Remove booster in C API.
Originally kept for "compatibility reason", but did not state why. So here
we just remove it.
** Add a `metric_names_` field in `LearnerImpl`.
** Remove `LazyInit`. Configuration will always be lazy.
** Run `Configure` before every iteration.
* Predictor changes:
** Allocate both cpu and gpu predictor.
** Remove cpu_predictor from gpu_predictor.
`GBTree` is now used to dispatch the predictor.
** Remove some GPU Predictor tests.
* IO
No IO changes. The binary model format stability is tested by comparing
hashing value of save models between two commits
55 lines
1.6 KiB
C++
55 lines
1.6 KiB
C++
/*!
|
|
* Copyright 2018-2019 by Contributors
|
|
*/
|
|
#include "../helpers.h"
|
|
#include "../../../src/common/host_device_vector.h"
|
|
#include <xgboost/tree_updater.h>
|
|
#include <gtest/gtest.h>
|
|
#include <vector>
|
|
#include <string>
|
|
#include <memory>
|
|
|
|
namespace xgboost {
|
|
namespace tree {
|
|
|
|
TEST(Updater, Refresh) {
|
|
int constexpr kNRows = 8, kNCols = 16;
|
|
|
|
HostDeviceVector<GradientPair> gpair =
|
|
{ {0.23f, 0.24f}, {0.23f, 0.24f}, {0.23f, 0.24f}, {0.23f, 0.24f},
|
|
{0.27f, 0.29f}, {0.27f, 0.29f}, {0.27f, 0.29f}, {0.27f, 0.29f} };
|
|
auto dmat = CreateDMatrix(kNRows, kNCols, 0.4, 3);
|
|
std::vector<std::pair<std::string, std::string>> cfg {
|
|
{"reg_alpha", "0.0"},
|
|
{"num_feature", std::to_string(kNCols)},
|
|
{"reg_lambda", "1"}};
|
|
|
|
RegTree tree = RegTree();
|
|
auto lparam = CreateEmptyGenericParam(0, 0);
|
|
tree.param.InitAllowUnknown(cfg);
|
|
std::vector<RegTree*> trees {&tree};
|
|
std::unique_ptr<TreeUpdater> refresher(TreeUpdater::Create("refresh", &lparam));
|
|
|
|
tree.ExpandNode(0, 2, 0.2f, false, 0.0, 0.2f, 0.8f, 0.0f, 0.0f);
|
|
int cleft = tree[0].LeftChild();
|
|
int cright = tree[0].RightChild();
|
|
|
|
tree.Stat(cleft).base_weight = 1.2;
|
|
tree.Stat(cright).base_weight = 1.3;
|
|
|
|
refresher->Configure(cfg);
|
|
refresher->Update(&gpair, dmat->get(), trees);
|
|
|
|
bst_float constexpr kEps = 1e-6;
|
|
ASSERT_NEAR(-0.183392, tree[cright].LeafValue(), kEps);
|
|
ASSERT_NEAR(-0.224489, tree.Stat(0).loss_chg, kEps);
|
|
ASSERT_NEAR(0, tree.Stat(cleft).loss_chg, kEps);
|
|
ASSERT_NEAR(0, tree.Stat(1).loss_chg, kEps);
|
|
ASSERT_NEAR(0, tree.Stat(2).loss_chg, kEps);
|
|
|
|
delete dmat;
|
|
}
|
|
|
|
} // namespace tree
|
|
} // namespace xgboost
|