這篇文章主要介紹“l(fā)inux下c++怎么集成LightGBM模型進(jìn)行預(yù)測(cè)”的相關(guān)知識(shí),小編通過(guò)實(shí)際案例向大家展示操作過(guò)程,操作方法簡(jiǎn)單快捷,實(shí)用性強(qiáng),希望這篇“l(fā)inux下c++怎么集成LightGBM模型進(jìn)行預(yù)測(cè)”文章能幫助大家解決問(wèn)題。
(1)lightGBM源碼 提取碼:qab2
(2)cmake 提取碼:3sdn
(3)環(huán)境:centos7
操作系統(tǒng)已經(jīng)按照g++和gcc編譯工具,可使用命令進(jìn)行安裝
yum install gcc
yum install gcc-c++
本次操作目錄均在/root/test,如下圖所示:
(1) 輸入命令:tar -zxvf cmake-3.18.4.tar.gz 解壓cmake.tar.gz
(2) 進(jìn)入cmake-3.18.4文件夾并執(zhí)行./configure命令
按照過(guò)程中如果報(bào)了“Could not find OpenSSL. Install an OpenSSL development package or”,需要先執(zhí)行yum instal openssl和yum install openssl-devel再執(zhí)行./configure命令
(3) 執(zhí)行命令gmake
(4) 執(zhí)行命令確認(rèn)cmake的版本,確認(rèn)cmake是否成功安裝
#include <LightGBM/c_api.h>#include <iostream>#include <vector>void predict(std::vector<float> &row){std::string pred_result = "";int temp;int p = 1;BoosterHandle handle;temp = LGBM_BoosterCreateFromModelfile("models/3_300_gbm.txt", &p, &handle);std::cout << "load result value is " << temp << std::endl;// std::vector<float> row = {0.07946399999999999, 0.9537260000000001, 0.9621209999999999, 0.976303, 7.0, 3.0};for (auto value : row)std::cout << value << ",";std::cout << std::endl;void *in_p = static_cast<void *>(row.data());std::vector<double> out(1, 0);double *out_result = static_cast<double *>(out.data());int64_t out_len;int res = LGBM_BoosterPredictForMat(handle, in_p, C_API_DTYPE_FLOAT32, 1, 6, 1, C_API_PREDICT_NORMAL, 0, -1, "None", &out_len, out_result);std::cout << "file predict result is:" << res << std::endl;std::cout << "row predict result size is " << out.size() << " value is " << out[0] << std::endl;}int main(){std::vector<float> row = {0.07946399999999999, 0.9537260000000001, 0.9621209999999999, 0.976303, 7.0, 3.0};predict(row);std::cout << std::endl;std::vector<float> row1 = {0.910457, 0.692459, 0.8338110000000001, 0.78886, 14.0, 10.0};predict(row1);std::cout << "Ok complete!" << std::endl;return 0;}// g++ -g -Wall -std=c++11 test.cpp -l_lightgbm -Wl,-R /usr/local/lib -o test// g++ -g -Wall -std=c++11 test.cpp -l_lightgbm -Wl,-R /root/moead/models -L/ydq/moead/models -I/root/moead/models/include -o test
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