ml::VeloxTreePrediction Class Reference

A machine learning function for making predictions using tree models. More...

#include <VeloxDecisionTree.h>

Inheritance diagram for ml::VeloxTreePrediction:

Public Member Functions
	VeloxTreePrediction (int numFeatures)
	Construct a new VeloxTreePrediction object.
float *	getTensor () const override
	Get the tensor data.
void	apply (const SelectivityVector &rows, std::vector< VectorPtr > &args, const TypePtr &type, exec::EvalCtx &context, VectorPtr &output) const override
	Apply the function to make predictions.
std::string	getFuncName ()
	Get the function name.
CostEstimate	getCost (std::vector< int > inputDims)
	Get the cost estimate for the function.
Public Member Functions inherited from MLFunction
virtual	~MLFunction ()=default
	Virtual destructor.
virtual std::vector< int >	getDims ()
	Returns the dimensions of the function.
virtual int	getNumDims ()
	Returns the number of dimensions of the function.

Static Public Member Functions
static std::vector< std::shared_ptr< exec::FunctionSignature > >	signatures ()
	Get the function signatures.
static std::string	getName ()
	Get the name of the function.

Public Attributes
int	numFeatures
	The number of features in the input data.

Additional Inherited Members
Protected Member Functions inherited from MLFunction
double	getWeightedCost (std::string name, float cost)
	Calculates the weighted cost of the function.
std::vector< double >	getCoefficientVector (std::string name)
	Retrieves the cost coefficients for the function.
Protected Attributes inherited from MLFunction
std::vector< int >	dims
	Dimensions of the function.

Detailed Description

A machine learning function for making predictions using tree models.

Constructor & Destructor Documentation

VeloxTreePrediction()

ml::VeloxTreePrediction::VeloxTreePrediction ( int numFeatures )

inline

Construct a new VeloxTreePrediction object.

Parameters

numFeatures

The number of features in the input data.

Member Function Documentation

apply()

void ml::VeloxTreePrediction::apply ( const SelectivityVector & rows, std::vector< VectorPtr > & args, const TypePtr & type, exec::EvalCtx & context, VectorPtr & output ) const

inlineoverride

Apply the function to make predictions.

Parameters

rows	The selectivity vector indicating which rows to process.
args	The input arguments to the function.
type	The type of the output vector.
context	The evaluation context.
output	The output vector where the results will be stored.

getCost()

CostEstimate ml::VeloxTreePrediction::getCost ( std::vector< int > inputDims )

inlinevirtual

Get the cost estimate for the function.

Parameters

inputDims

The dimensions of the input data.

Returns

A CostEstimate object representing the cost.

Reimplemented from MLFunction.

getFuncName()

std::string ml::VeloxTreePrediction::getFuncName ( )

inlinevirtual

Get the function name.

Returns

A string representing the function name.

Reimplemented from MLFunction.

getName()

static std::string ml::VeloxTreePrediction::getName ( )

inlinestatic

Get the name of the function.

Returns

A string representing the name of the function.

getTensor()

float * ml::VeloxTreePrediction::getTensor ( ) const

inlineoverridevirtual

Get the tensor data.

Returns

A pointer to the tensor data.

Note

This implementation may lead to a memory leak.

Implements MLFunction.

signatures()

static std::vector< std::shared_ptr< exec::FunctionSignature > > ml::VeloxTreePrediction::signatures ( )

inlinestatic

Get the function signatures.

Returns

A vector of shared pointers to function signatures.

---

The documentation for this class was generated from the following file:

• VeloxDecisionTree.h