ROOT::Experimental::Internal::ML Namespace Reference

Classes
class	RBatchGenerator
	In this class, the processes of loading chunks (see RChunkLoader) and creating batches from those chunks (see RBatchLoader) are combined, allowing batches from the training and validation sets to be loaded directly from a dataset in an RDataFrame. More...
class	RBatchLoader
	Building and loading the batches from loaded chunks in RChunkLoader. More...
class	RChunkConstructor
	The logic for constructing chunks from a dataset. More...
class	RChunkLoader
	Building and loading the chunks from the blocks and chunks constructed in RChunkConstructor. More...
class	RChunkLoaderFunctor
	Loading chunks made in RChunkLoader into tensors from data from RDataFrame. More...
class	RDatasetLoader
	Load the whole dataset into memory. More...
class	RDatasetLoaderFunctor
	Loading chunks made in RDatasetLoader into tensors from data from RDataFrame. More...
struct	RFlat2DMatrix
	Wrapper around ROOT::RVec<float> representing a 2D matrix. More...
class	RFlat2DMatrixOperators
	Collection of operations applied to one or multiple flat 2D matrices. More...
class	RSampler
	Implementation of different sampling strategies. More...