Classifier

class Classifier(*args)

Classifier.

Available constructors:

Classifier(classifierImp)

Parameters:

classifierImpclassifier implementation

A classifier implementation. It can be a MixtureClassifier.

See also

MixtureClassifier, ExpertMixture

Notes

The classifier enables to define rules that assign a vector to a particular class.

Methods

classify(*args)	Classify points according to the classifier.
getClassName()	Accessor to the object's name.
getDimension()	Accessor to the dimension.
getId()	Accessor to the object's id.
getImplementation()	Accessor to the underlying implementation.
getName()	Accessor to the object's name.
getNumberOfClasses()	Accessor to the number of classes.
getVerbose()	Accessor to the verbosity.
grade(*args)	Grade points according to the classifier.
isParallel()	Accessor to the parallel flag.
setName(name)	Accessor to the object's name.
setParallel(flag)	Accessor to the parallel flag.
setVerbose(verbose)	Accessor to the verbosity.

__init__(*args)

classify(*args)

Classify points according to the classifier.

Parameters:

inputsequence of float or 2-d a sequence of float

A point or set of points to classify.

Returns:

clsint or Indices

The class index of the input points, or indices of the classes of each points.

getClassName()

Accessor to the object’s name.

Returns:

class_namestr

The object class name (object.__class__.__name__).

getDimension()

Accessor to the dimension.

Returns:

dimint

The dimension of the classifier.

getId()

Accessor to the object’s id.

Returns:

idint

Internal unique identifier.

getImplementation()

Accessor to the underlying implementation.

Returns:

implImplementation

A copy of the underlying implementation object.

getName()

Accessor to the object’s name.

Returns:

namestr

The name of the object.

getNumberOfClasses()

Accessor to the number of classes.

Returns:

n_classesint

The number of classes

getVerbose()

Accessor to the verbosity.

Returns:

verbbool

Logical value telling if the verbose mode has been activated.

grade(*args)

Grade points according to the classifier.

Parameters:

inputPointsequence of float or 2-d a sequence of float

A point or set of points to grade.

kint or sequence of int

The class index, or class indices.

Returns:

gradefloat or Point

Grade or list of grades of each input point with respect to each class index

isParallel()

Accessor to the parallel flag.

Returns:

flagbool

Logical value telling if the parallel mode has been activated.

setName(name)

Accessor to the object’s name.

Parameters:

namestr

The name of the object.

setParallel(flag)

Accessor to the parallel flag.

Parameters:

flagbool

Logical value telling if the classification and grading are done in parallel.

setVerbose(verbose)

Accessor to the verbosity.

Parameters:

verbbool

Logical value telling if the verbose mode has been activated.