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/*!
* Copyright 2018-2023 XGBoost contributors
*/
#include <xgboost/objective.h>
#include <xgboost/context.h>
#include "../../src/common/common.h"
#include "../helpers.h"
#include "test_multiclass_obj.h"
namespace xgboost {
void TestSoftmaxMultiClassObjGPair(const Context* ctx) {
std::vector<std::pair<std::string, std::string>> args {{"num_class", "3"}};
std::unique_ptr<ObjFunction> obj {
ObjFunction::Create("multi:softmax", ctx)
};
obj->Configure(args);
CheckConfigReload(obj, "multi:softmax");
CheckObjFunction(obj,
{1.0f, 0.0f, 2.0f, 2.0f, 0.0f, 1.0f}, // preds
{1.0f, 0.0f}, // labels
{1.0f, 1.0f}, // weights
{0.24f, -0.91f, 0.66f, -0.33f, 0.09f, 0.24f}, // grad
{0.36f, 0.16f, 0.44f, 0.45f, 0.16f, 0.37f}); // hess
CheckObjFunction(obj,
{1.0f, 0.0f, 2.0f, 2.0f, 0.0f, 1.0f}, // preds
{1.0f, 0.0f}, // labels
{}, // weights
{0.24f, -0.91f, 0.66f, -0.33f, 0.09f, 0.24f}, // grad
{0.36f, 0.16f, 0.44f, 0.45f, 0.16f, 0.37f}); // hess
ASSERT_NO_THROW(obj->DefaultEvalMetric());
}
void TestSoftmaxMultiClassBasic(const Context* ctx) {
std::vector<std::pair<std::string, std::string>> args{
std::pair<std::string, std::string>("num_class", "3")};
std::unique_ptr<ObjFunction> obj{ObjFunction::Create("multi:softmax", ctx)};
obj->Configure(args);
CheckConfigReload(obj, "multi:softmax");
HostDeviceVector<bst_float> io_preds = {2.0f, 0.0f, 1.0f,
1.0f, 0.0f, 2.0f};
std::vector<bst_float> out_preds = {0.0f, 2.0f};
obj->PredTransform(&io_preds);
auto& preds = io_preds.HostVector();
for (int i = 0; i < static_cast<int>(io_preds.Size()); ++i) {
EXPECT_NEAR(preds[i], out_preds[i], 0.01f);
}
}
void TestSoftprobMultiClassBasic(const Context* ctx) {
std::vector<std::pair<std::string, std::string>> args {
std::pair<std::string, std::string>("num_class", "3")};
std::unique_ptr<ObjFunction> obj {
ObjFunction::Create("multi:softprob", ctx)
};
obj->Configure(args);
CheckConfigReload(obj, "multi:softprob");
HostDeviceVector<bst_float> io_preds = {2.0f, 0.0f, 1.0f};
std::vector<bst_float> out_preds = {0.66524096f, 0.09003057f, 0.24472847f};
obj->PredTransform(&io_preds);
auto& preds = io_preds.HostVector();
for (int i = 0; i < static_cast<int>(io_preds.Size()); ++i) {
EXPECT_NEAR(preds[i], out_preds[i], 0.01f);
}
}
} // namespace xgboost
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