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

Classes
class	RBatchLoader
	Building and loading the batches from loaded chunks in RChunkLoader. More...
class	RClusterLoader
	Loads TTree/RNTuple clusters from one or more RDataFrames into RFlat2DMatrix buffers for ML training and validation. More...
class	RClusterLoaderFunctor
	Functor invoked by RDataFrame::Foreach to fill one row of an RFlat2DMatrix. More...
struct	RClusterRange
	Describes a contiguous range of entries within a single RDataFrame, corresponding to one TTree/RNTuple cluster boundary. More...
class	RDataLoaderEngine
	In this class, the processes of loading clusters (see RClusterLoader) and creating batches from those clusters (see RBatchLoader) are combined, allowing batches from the training and validation sets to be loaded directly from a dataset in an 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...