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File: CLASSES/jacobianMatrix.cpp

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  Classes of Cuthbert Martin Lwinga   PHP Neural Net Library   CLASSES/jacobianMatrix.cpp   Download  
File: CLASSES/jacobianMatrix.cpp
Role: Auxiliary data
Content type: text/plain
Description: Auxiliary data
Class: PHP Neural Net Library
Build, train, evaluate, and use neural networks
Author: By
Last change:
Date: 4 months ago
Size: 2,046 bytes
 

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#include <iostream> #include <chrono> #include <vector> #include <thread> #include <stdexcept> #include "Utility.h" #include "rapidjson/document.h" int main(int argc, char* argv[]) { if (argc != 3) { std::cerr << "Usage: " << argv[0] << " <file-path> <output-file-path>" << std::endl; return 1; } auto start_time = std::chrono::high_resolution_clock::now(); std::string filePath(argv[1]); std::string outputFilePath(argv[2]); std::string jsonData = readJsonFromFile(filePath); if (jsonData.empty()) { std::cerr << "Failed to read JSON data from the file." << std::endl; return 1; } // Process JSON data rapidjson::Document doc; doc.Parse(jsonData.c_str()); if (doc.HasParseError()) { std::cerr << "Error: Invalid JSON data" << std::endl; return 1; } // Check if the data for key 'a' and 'b' are 1D or 2D // std::vector<std::vector<double>> jacobianResult; // if (doc["a"].IsArray() && doc["a"][0].IsArray()) { // // 2D case // std::vector<std::vector<double>> output = extractMatrixData(jsonData, "a"); // std::vector<std::vector<double>> dvalues = extractMatrixData(jsonData, "b"); // jacobianResult = jacobianMatrix2D(output, dvalues); // } else { // // 1D case // std::vector<double> output = extractVectorData(jsonData, "a"); // std::vector<double> dvalues = extractVectorData(jsonData, "b"); // jacobianResult = jacobianMatrix1D(output, dvalues); // } // // Save the result to JSON // if (saveToJSON(outputFilePath, jacobianResult)) { std::cout << "Successful" << std::endl; // } else { // std::cout << "Fail" << std::endl; // } // auto end_time = std::chrono::high_resolution_clock::now(); // auto duration = std::chrono::duration_cast<std::chrono::milliseconds>(end_time - start_time); // std::cout << std::endl << "Elapsed time: " << duration.count() << " milliseconds" << std::endl; return 0; }