MultiHotNormalizedEncoder Class Reference

Implements a multi-hot normalized encoder for integer values. More...

#include <Encoder.h>

Inheritance diagram for MultiHotNormalizedEncoder:

Public Member Functions
	MultiHotNormalizedEncoder (int size)
	Constructor for MultiHotNormalizedEncoder.
void	apply (const SelectivityVector &rows, std::vector< VectorPtr > &args, const TypePtr &type, exec::EvalCtx &context, VectorPtr &output) const override
	Applies the encoding function to the input data.
float *	getTensor () const override
	Returns the tensor associated with the function.
CostEstimate	getCost (std::vector< int > inputDims)
	Estimates the cost of 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 std::string	getFuncName ()
	Returns the name 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 ()
	Returns the function signatures.
static std::string	getName ()
	Returns the name of the function.

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

Implements a multi-hot normalized encoder for integer values.

Constructor & Destructor Documentation

MultiHotNormalizedEncoder()

MultiHotNormalizedEncoder::MultiHotNormalizedEncoder ( int size )

inline

Constructor for MultiHotNormalizedEncoder.

Parameters

size	The size of the encoded output vector.

Member Function Documentation

apply()

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

inlineoverride

Applies the encoding function to the input data.

Parameters

rows	Selectivity vector indicating which rows to process.
args	Vector of input arguments.
type	Type of the output vector.
context	Evaluation context.
output	Output vector to store the results.

getCost()

CostEstimate MultiHotNormalizedEncoder::getCost ( std::vector< int > inputDims )

inlinevirtual

Estimates the cost of the function.

Parameters

inputDims

Dimensions of the input.

Returns

Cost estimate.

Reimplemented from MLFunction.

getName()

static std::string MultiHotNormalizedEncoder::getName ( )

inlinestatic

Returns the name of the function.

Returns

Function name.

getTensor()

float * MultiHotNormalizedEncoder::getTensor ( ) const

inlineoverridevirtual

Returns the tensor associated with the function.

Returns

Pointer to the tensor.

Implements MLFunction.

signatures()

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

inlinestatic

Returns the function signatures.

Returns

Vector of function signatures.

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

• Encoder.h