Certainly! Here is an example of how to use LightGBM in C++ with Microsoft Visual Studio:
Include the LightGBM header file in your main .cpp file:
#include <LightGBM/lightgbm.h>
Initialize a Dataset object with your training data:
LightGBM::Dataset train_data = LightGBM::Dataset::CreateFromFile(
"train.txt",
"",
0,
0,
true,
"",
"1",
1,
nullptr
);
Define a parameter object and set the necessary parameters:
LightGBM::Config config;
config.num_iterations = 100;
config.boosting_type = LightGBM::BoostingType::kGBDT;
config.max_depth = 6;
config.learning_rate = 0.1f;
Train the model using the LightGBM object:
LightGBM::LightGBM model(config);
model.Train(&train_data);
Make predictions using the trained model:
std::vector<float> predict_data = {1.0f, 2.0f, 3.0f};
std::vector<float> predictions;
model.Predict(predict_data.data(), &predictions);
And that's it! You now have a working example of how to use LightGBM in C++ with Microsoft Visual Studio.
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Asked: 2021-08-23 11:00:00 +0000
Seen: 14 times
Last updated: Oct 07 '21
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