xgboost/tests/cpp/linear/test_linear.cc
Vadim Khotilovich 706be4e5d4
Additional improvements for gblinear (#3134)
* fix rebase conflict

* [core] additional gblinear improvements

* [R] callback for gblinear coefficients history

* force eta=1 for gblinear python tests

* add top_k to GreedyFeatureSelector

* set eta=1 in shotgun test

* [core] fix SparsePage processing in gblinear; col-wise multithreading in greedy updater

* set sorted flag within TryInitColData

* gblinear tests: use scale, add external memory test

* fix multiclass for greedy updater

* fix whitespace

* fix typo
2018-03-13 01:27:13 -05:00

44 lines
1.6 KiB
C++

// Copyright by Contributors
#include <xgboost/linear_updater.h>
#include "../helpers.h"
#include "xgboost/gbm.h"
typedef std::pair<std::string, std::string> arg;
TEST(Linear, shotgun) {
typedef std::pair<std::string, std::string> arg;
auto mat = CreateDMatrix(10, 10, 0);
std::vector<bool> enabled(mat->info().num_col, true);
mat->InitColAccess(enabled, 1.0f, 1 << 16, false);
auto updater = std::unique_ptr<xgboost::LinearUpdater>(
xgboost::LinearUpdater::Create("shotgun"));
updater->Init({{"eta", "1."}});
std::vector<xgboost::bst_gpair> gpair(mat->info().num_row,
xgboost::bst_gpair(-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);
}
TEST(Linear, coordinate) {
typedef std::pair<std::string, std::string> arg;
auto mat = CreateDMatrix(10, 10, 0);
std::vector<bool> enabled(mat->info().num_col, true);
mat->InitColAccess(enabled, 1.0f, 1 << 16, false);
auto updater = std::unique_ptr<xgboost::LinearUpdater>(
xgboost::LinearUpdater::Create("coord_descent"));
updater->Init({});
std::vector<xgboost::bst_gpair> gpair(mat->info().num_row,
xgboost::bst_gpair(-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);
}