Namespaces
namespace	Internal

namespace	Objectives

Classes
struct	BranchlessForest
	Forest using branchless trees. More...

struct	BranchlessJittedForest
	Forest using branchless jitted trees. More...

class	BranchlessTree
	Branchless representation of a decision tree using topological ordering. More...

class	Classification

class	ClassificationResult

struct	ForestBase
	Forest base class. More...

class	RBDT
	Fast boosted decision tree inference. More...

class	RReader
	TMVA::Reader legacy interface. More...

class	RStandardScaler

class	RTensor
	RTensor is a container with contiguous memory and shape information. More...

class	SaveXGBoost
	Save an XGBoost to a ROOT file to be used with the fast tree inference system of TMVA. More...

Enumerations
enum class	MemoryLayout : uint8_t { RowMajor = 0x01 , ColumnMajor = 0x02 , RowMajor = 0x01 , ColumnMajor = 0x02 }
	Memory layout type (copy from RTensor.hxx) More...

enum class	MemoryLayout : uint8_t { RowMajor = 0x01 , ColumnMajor = 0x02 , RowMajor = 0x01 , ColumnMajor = 0x02 }
	Memory layout type. More...

Functions
template<typename T , typename U >
RTensor< T >	AsTensor (U &dataframe, std::vector< std::string > columns={}, MemoryLayout layout=MemoryLayout::RowMajor)
	Convert the content of an RDataFrame to an RTensor.

template<std::size_t N, typename T , typename F >
auto	Compute (F &&f) -> Internal::ComputeHelper< std::make_index_sequence< N >, T, F >
	Helper to pass TMVA model to RDataFrame.Define nodes.

template<typename T >
std::ostream &	operator<< (std::ostream &os, RTensor< T > &x)
	Pretty printing.

Enumeration Type Documentation

◆ MemoryLayout [1/2]

enum class TMVA::Experimental::MemoryLayout : uint8_t

strong

Memory layout type (copy from RTensor.hxx)

Enumerator
RowMajor
ColumnMajor
RowMajor
ColumnMajor

Definition at line 47 of file CudaTensor.h.

◆ MemoryLayout [2/2]

enum class TMVA::Experimental::MemoryLayout : uint8_t

strong

Memory layout type.

Enumerator
RowMajor
ColumnMajor
RowMajor
ColumnMajor

Definition at line 17 of file RTensor.hxx.

Function Documentation

◆ AsTensor()

template<typename T , typename U >

RTensor< T > TMVA::Experimental::AsTensor	(	U &	dataframe,
		std::vector< std::string >	columns = `{}`,
		MemoryLayout	layout = `MemoryLayout::RowMajor`
	)

Convert the content of an RDataFrame to an RTensor.

Parameters

[in]	dataframe	RDataFrame node
[in]	columns	Vector of column names
[in]	layout	Memory layout

Returns: RTensor with content from selected columns

Definition at line 21 of file RTensorUtils.hxx.

◆ Compute()

template<std::size_t N, typename T , typename F >

auto TMVA::Experimental::Compute ( F && f ) -> Internal::ComputeHelper<std::make_index_sequence<N>, T, F>

Helper to pass TMVA model to RDataFrame.Define nodes.

Definition at line 31 of file RInferenceUtils.hxx.

◆ operator<<()

template<typename T >

std::ostream & TMVA::Experimental::operator<<	(	std::ostream &	os,
		RTensor< T > &	x
	)

Pretty printing.

Parameters

[in]	os	Output stream
[in]	x	RTensor

Returns: Modified output stream

Definition at line 562 of file RTensor.hxx.

Namespaces

Classes

Enumerations