Hands-On Machine Learning with C++

Shogun

Using the Shogun library, we can use a particular constructor of the SGMatrix type to initialize it with the C++ array. It takes a pointer to the data and matrix dimensions, as illustrated in the following code snippet:

std::vector<double> values;...SGMatrix<float64_t> matrix(values.data(), num_rows, numcols);

Notice that all of these functions only make a wrapper for the original C++ array where the data is stored, and don't copy the values into a new location. If we want to copy values from a C++ array to a matrix object, we usually need to call a clone() method or an analog of it for the wrapper object.

After we have a matrix object for a machine learning framework we use, we can initialize other specialized objects for training ...