50 lines
1.0 KiB
C++
50 lines
1.0 KiB
C++
/*!
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* Copyright 2019 by Contributors
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*/
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#include <gtest/gtest.h>
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#include <memory>
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#include <sstream>
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#include "../helpers.h"
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#include "xgboost/json.h"
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#include "xgboost/logging.h"
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#include "xgboost/gbm.h"
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#include "xgboost/generic_parameters.h"
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#include "xgboost/learner.h"
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namespace xgboost {
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namespace gbm {
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TEST(GBLinear, Json_IO) {
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size_t constexpr kRows = 16, kCols = 16;
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LearnerModelParam param;
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param.num_feature = kCols;
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param.num_output_group = 1;
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GenericParameter gparam;
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gparam.Init(Args{});
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std::unique_ptr<GradientBooster> gbm {
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CreateTrainedGBM("gblinear", Args{}, kRows, kCols, ¶m, &gparam) };
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Json model { Object() };
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gbm->SaveModel(&model);
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ASSERT_TRUE(IsA<Object>(model));
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std::string model_str;
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Json::Dump(model, &model_str);
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model = Json::Load(StringView{model_str.c_str(), model_str.size()});
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ASSERT_TRUE(IsA<Object>(model));
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{
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model = model["model"];
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auto weights = get<Array>(model["weights"]);
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ASSERT_EQ(weights.size(), 17);
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}
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}
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} // namespace gbm
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} // namespace xgboost
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