xgboost/tests/cpp/linear/test_linear.cc
Jiaming Yuan c589eff941
De-duplicate GPU parameters. (#4454)
* Only define `gpu_id` and `n_gpus` in `LearnerTrainParam`
* Pass LearnerTrainParam through XGBoost vid factory method.
* Disable all GPU usage when GPU related parameters are not specified (fixes XGBoost choosing GPU over aggressively).
* Test learner train param io.
* Fix gpu pickling.
2019-05-29 11:55:57 +08:00

52 lines
1.7 KiB
C++

/*!
* Copyright 2018 by Contributors
*/
#include <xgboost/linear_updater.h>
#include "../helpers.h"
#include "xgboost/gbm.h"
TEST(Linear, shotgun) {
auto mat = xgboost::CreateDMatrix(10, 10, 0);
auto lparam = xgboost::CreateEmptyGenericParam(0, 0);
{
auto updater = std::unique_ptr<xgboost::LinearUpdater>(
xgboost::LinearUpdater::Create("shotgun", &lparam));
updater->Init({{"eta", "1."}});
xgboost::HostDeviceVector<xgboost::GradientPair> gpair(
(*mat)->Info().num_row_, xgboost::GradientPair(-5, 1.0));
xgboost::gbm::GBLinearModel model;
model.param.num_feature = (*mat)->Info().num_col_;
model.param.num_output_group = 1;
model.LazyInitModel();
updater->Update(&gpair, (*mat).get(), &model, gpair.Size());
ASSERT_EQ(model.bias()[0], 5.0f);
}
{
auto updater = std::unique_ptr<xgboost::LinearUpdater>(
xgboost::LinearUpdater::Create("shotgun", &lparam));
EXPECT_ANY_THROW(updater->Init({{"feature_selector", "random"}}));
}
delete mat;
}
TEST(Linear, coordinate) {
auto mat = xgboost::CreateDMatrix(10, 10, 0);
auto lparam = xgboost::CreateEmptyGenericParam(0, 0);
auto updater = std::unique_ptr<xgboost::LinearUpdater>(
xgboost::LinearUpdater::Create("coord_descent", &lparam));
updater->Init({{"eta", "1."}});
xgboost::HostDeviceVector<xgboost::GradientPair> gpair(
(*mat)->Info().num_row_, xgboost::GradientPair(-5, 1.0));
xgboost::gbm::GBLinearModel model;
model.param.num_feature = (*mat)->Info().num_col_;
model.param.num_output_group = 1;
model.LazyInitModel();
updater->Update(&gpair, (*mat).get(), &model, gpair.Size());
ASSERT_EQ(model.bias()[0], 5.0f);
delete mat;
}