The Normalize analyzer normalizes real descriptors. More...

#include <normalize.h>

Inheritance diagram for gaia2::Normalize:

Public Member Functions
	Normalize (const ParameterMap &params)

Transformation	analyze (const DataSet *data, const Region &region) const

Public Member Functions inherited from gaia2::Analyzer
	Analyzer (const ParameterMap &params)

virtual Transformation	analyze (const DataSet *dataset) const

void	checkDataSet (const DataSet *dataset) const
	Checks that the given dataset is valid. More...

void	checkMinPoints (const DataSet *dataset, int n) const
	Checks that the given dataset as at least the specified number of points. More...

const Region &	checkFixedLength (const Region &region, const PointLayout &layout) const
	Checks that the given Region only contains fixed-length descriptors and throws an exception if not. More...

Protected Member Functions
void	getStats (const DataSet &dataset, const Region &region, Point &mmin, Point &mmax, Point &mean, Point &var) const

void	getStatsWithOutliers (const DataSet &dataset, const Region &region, Point &mmin, Point &mmax, Point &mean, Point &var) const

ParameterMap	getNormalizationCoeffs (const QString &descriptorName, const Point &mmin, const Point &mmax, const Point &mean, const Point &var) const

Protected Attributes
Real	_outliers

Protected Attributes inherited from gaia2::Analyzer
ParameterMap	_params

QStringList	_descriptorNames

QStringList	_exclude

Additional Inherited Members
Public Attributes inherited from gaia2::Analyzer
QString	name
	Name for the algorithm, usually the key that was used to instantiate it from the factory.

QStringList	validParams
	List of valid parameters this analyzer accepts. More...

Detailed Description

The Normalize analyzer normalizes real descriptors.

There are various ways of doing normalization, the most common being to just normalize the values so that they fall within the range [0; 1].

NB: This algorithm does not yet work with multi-segments points.

Parameters

collections	the list of collections from which to gather the stats. the transformation will still apply to all of them, though. (default: [], meaning all of them)
descriptorNames	the names of the descriptors to be included in the normalization. Only accepts real descriptors, can use wildcards. (default: "*").
except	the names of the descriptors to be removed from the selected list specified before. Can use wildcards. (default: "").
type	the type of normalization. Valid types are: `"range"` which normalizes using the minimum and maximum values. `"variance"` which normalizes using the variance of the values. (default: "range").
independent	indicates whether to normalize each dimension from a single descriptor independently, or if the vector should be normalized as a whole (default: false).
outliers	the ratio (between 0 and 1) of outliers when computing the statistics used for normalization. Outliers are the values which are not taken into account because they have too extreme values. A value of -1 means do not use outliers (default: -1).
applyClipping	whether to apply clipping, eg: fitting the values into the [0;1] range (default: false).

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

Public Member Functions