25 for (
int i=0; i<numPlanes; ++i)
27 MatrixXf plane = MatrixXf::Random(hashSize,
inputDim);
holds variable type data.
int get_n_samples() const
std::vector< DataType > unique_data_types
keeps track of the unique data types in the dataset.
Dataset get_training_data() const
vector< MatrixXf > uniformPlanes
void init(int hashSize, const Dataset &data, int numPlanes)
std::unordered_map< DataType, HashStorage > equivalentExpressions
< nsga2 selection operator for getting the front