TMVA::Experimental::Internal Namespace Reference

Classes
struct	and_types
	Type checking for all types of a parameter pack, e.g., used in combination with std::is_convertible. More...
struct	and_types< T0, Ts... >
class	ComputeHelper
	Compute helper. More...
class	ComputeHelper< std::index_sequence< N... >, T, F >
class	RBatchGenerator
class	RBatchLoader
class	RChunkLoader
class	RChunkLoaderFilters
class	RChunkLoaderFunctor
class	RChunkLoaderFunctorFilters
struct	XMLConfig
	Container for information extracted from TMVA XML config. More...

Enumerations
enum	AnalysisType : unsigned int { Undefined = 0 , Classification , Regression , Multiclass }
	Internal definition of analysis types. More...

Functions
template<typename U , typename V >
std::size_t	ComputeGlobalIndex (const U &strides, const V &idx)
	Compute global index from indices.
template<typename T >
T	ComputeIndicesFromGlobalIndex (const T &shape, MemoryLayout layout, const typename T::value_type idx)
	Compute indices from global index.
template<typename T >
std::vector< std::size_t >	ComputeStridesFromShape (const T &shape, MemoryLayout layout)
	Compute strides from shape vector.
template<typename T >
std::size_t	GetSizeFromShape (const T &shape)
	Get size of tensor from shape vector.
XMLConfig	ParseXMLConfig (const std::string &filename)
	Parse TMVA XML config.
template<typename T >
void	RecursiveCopy (const T &here, T &there, const std::vector< std::size_t > &mins, const std::vector< std::size_t > &maxs, std::vector< std::size_t > idx, std::size_t active)
	Copy slice of a tensor recursively from here to there.

Enumeration Type Documentation

AnalysisType

enum TMVA::Experimental::Internal::AnalysisType : unsigned int

Internal definition of analysis types.

Enumerator
Undefined
Classification
Regression
Multiclass

Definition at line 19 of file RReader.hxx.

Function Documentation

ComputeGlobalIndex()

template<typename U , typename V >

std::size_t TMVA::Experimental::Internal::ComputeGlobalIndex ( const U &  strides, const V &  idx  )

inline

Compute global index from indices.

Parameters

[in]	strides	Strides vector
[in]	idx	Indice vector

Returns

Global index

Definition at line 99 of file RTensor.hxx.

ComputeIndicesFromGlobalIndex()

template<typename T >

T TMVA::Experimental::Internal::ComputeIndicesFromGlobalIndex ( const T &  shape, MemoryLayout  layout, const typename T::value_type  idx  )

inline

Compute indices from global index.

Parameters

[in]	shape	Shape vector
[in]	idx	Global index
[in]	layout	Memory layout

Returns

Indice vector

Definition at line 81 of file RTensor.hxx.

ComputeStridesFromShape()

template<typename T >

std::vector< std::size_t > TMVA::Experimental::Internal::ComputeStridesFromShape ( const T &  shape, MemoryLayout  layout  )

inline

Compute strides from shape vector.

Parameters

[in]	shape	Shape vector
[in]	layout	Memory layout

Returns

Size of contiguous memory

This information is needed for the multi-dimensional indexing. See here: https://en.wikipedia.org/wiki/Row-_and_column-major_order https://docs.scipy.org/doc/numpy/reference/generated/numpy.ndarray.strides.html

Definition at line 47 of file RTensor.hxx.

GetSizeFromShape()

template<typename T >

std::size_t TMVA::Experimental::Internal::GetSizeFromShape ( const T &  shape )

inline

Get size of tensor from shape vector.

Parameters

[in]

shape

Shape vector

Returns

Size of contiguous memory

Definition at line 28 of file RTensor.hxx.

ParseXMLConfig()

XMLConfig TMVA::Experimental::Internal::ParseXMLConfig ( const std::string &  filename )

inline

Parse TMVA XML config.

Definition at line 42 of file RReader.hxx.

RecursiveCopy()

template<typename T >

void TMVA::Experimental::Internal::RecursiveCopy	(	const T &	here,
		T &	there,
		const std::vector< std::size_t > &	mins,
		const std::vector< std::size_t > &	maxs,
		std::vector< std::size_t >	idx,
		std::size_t	active
	)

Copy slice of a tensor recursively from here to there.

Parameters

[in]	here	Source tensor
[in]	there	Target tensor (slice of source tensor)
[in]	mins	Minimum of indices for each dimension
[in]	maxs	Maximum of indices for each dimension
[in]	idx	Current indices
[in]	active	Active index needed to stop the recursion

Copy the content of a slice of a tensor from source to target. This is done by recursively iterating over the ranges of the slice for each dimension.

Definition at line 129 of file RTensor.hxx.