MinMaxScaler Class Reference

A class that implements Min-Max scaling, inheriting from MLFunction. More...

#include <functions.h>

Inheritance diagram for MinMaxScaler:

Public Member Functions
	MinMaxScaler (float *scalerMinValues, float *scalerMaxValues, int numCols)
	Constructor that initializes the scaler with raw arrays of min and max values.
	MinMaxScaler (std::string minMaxScalerDataPath)
	Constructor that initializes the scaler with a file containing min and max values.
void	apply (const SelectivityVector &rows, std::vector< VectorPtr > &args, const TypePtr &type, exec::EvalCtx &context, VectorPtr &output) const override
	Applies Min-Max scaling to the input array.
float *	getTensor () const override
	Returns the tensor associated with this function.
std::string	getFuncName ()
	Returns the name of the function.
CostEstimate	getCost (std::vector< int > inputDims)
	Estimates the computational cost of applying Min-Max scaling.
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 ()
	Returns the function signatures supported by this class.
static std::string	getName ()
	Static method to return 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

A class that implements Min-Max scaling, inheriting from MLFunction.

Min-Max scaling normalizes input data to a specified range (typically [0, 1]) using the formula: [ X_{\text{scaled}} = \frac{X - X_{\text{min}}}{X_{\text{max}} - X_{\text{min}}} ] This class supports initialization with either raw arrays of min/max values or a file containing these values.

Constructor & Destructor Documentation

MinMaxScaler() [1/2]

MinMaxScaler::MinMaxScaler ( float * scalerMinValues, float * scalerMaxValues, int numCols )

inline

Constructor that initializes the scaler with raw arrays of min and max values.

Parameters

scalerMinValues	A pointer to a float array containing the minimum values for each feature.
scalerMaxValues	A pointer to a float array containing the maximum values for each feature.
numCols	The number of features (columns) in the input data.

MinMaxScaler() [2/2]

MinMaxScaler::MinMaxScaler ( std::string minMaxScalerDataPath )

inline

Constructor that initializes the scaler with a file containing min and max values.

Parameters

minMaxScalerDataPath

The path to the file containing min and max values.

Member Function Documentation

apply()

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

inlineoverride

Applies Min-Max scaling to the input array.

This method processes the input array, applies Min-Max scaling, and stores the result in the output vector.

Parameters

rows	A SelectivityVector specifying the rows to process.
args	A vector of input arguments (e.g., the input array).
type	The type of the output vector.
context	The execution context.
output	The output vector where the result will be stored.

getCost()

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

inlinevirtual

Estimates the computational cost of applying Min-Max scaling.

Parameters

inputDims

A vector containing the dimensions of the input.

Returns

A CostEstimate object representing the estimated cost.

Reimplemented from MLFunction.

getFuncName()

std::string MinMaxScaler::getFuncName ( )

inlinevirtual

Returns the name of the function.

Returns

The name of the function as a string.

Reimplemented from MLFunction.

getName()

static std::string MinMaxScaler::getName ( )

inlinestatic

Static method to return the name of the function.

Returns

The name of the function as a string ("min_max_scaler").

getTensor()

float * MinMaxScaler::getTensor ( ) const

inlineoverridevirtual

Returns the tensor associated with this function.

Returns

A pointer to an empty float array (no weights for MinMaxScaler).

Implements MLFunction.

signatures()

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

inlinestatic

Returns the function signatures supported by this class.

Returns

A vector of shared pointers to FunctionSignature objects.

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

• functions.h