loading and splitting the data and declaring some constants

load_declare.cpp

constexpr double RATIO = 0.1; // ratio to divide the data in train and val set.
constexpr int MAX_ITERATIONS = 0; // set to zero to allow infinite iterations.
constexpr double STEP_SIZE = 1.2e-3;// step size for Adam optimizer.
constexpr int BATCH_SIZE = 50;
constexpr size_t EPOCH = 2;

mat tempDataset;
data::Load("train.csv", tempDataset, true);

mat tempTest;
data::Load("test.csv", test, true);