Package classifiers :: Module q_classifier_r :: Class classifier_desc

Class classifier_desc

This is a thing that describes and generates classifiers.

Instance Methods

__init__(self, list_of_classes, fvdim, evaluator=None, ftrim=None)
x.__init__(...) initializes x; see x.__class__.__doc__ for signature

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int

np(self)
Returns: The number of parameters required to define one class.

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int

npt(self)
Returns: The number of parameters required to define the classifier.

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the corresponding subclass of classifier.

unpack(self, prmvec, trainingset_name=None, uid=None)
Produce a classifier from a parameter vector.

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start(self, data)
Starting position for Markov Chain Monte Carlo.

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__str__(self)
str(x)

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__repr__(self)
str(x)

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typename(self)
Returns: a string that names the subclass - what kind of classifier_desc is it? @rtype str

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Inherited from object: __delattr__, __format__, __getattribute__, __hash__, __new__, __reduce__, __reduce_ex__, __setattr__, __sizeof__, __subclasshook__

Properties
Inherited from `object`: `__class__`

Method Details

init(self, list_of_classes, fvdim, evaluator=None, ftrim=None)
(Constructor)

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x.__init__(...) initializes x; see x.__class__.__doc__ for signature

Overrides: object.__init__: (inherited documentation)

np(self)

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Returns: int: The number of parameters required to define one class.

npt(self)

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Returns: int: The number of parameters required to define the classifier.

unpack(self, prmvec, trainingset_name=None, uid=None)

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Produce a classifier from a parameter vector.

Parameters:

prmvec (numpy.ndarray) - a vector of parameters that describe a classifier model.

Returns: the corresponding subclass of classifier.

the classifier.

str(self)
(Informal representation operator)

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str(x)

Overrides: object.__str__: (inherited documentation)

repr(self)
(Representation operator)

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str(x)

Overrides: object.__repr__: (inherited documentation)

typename(self)

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Returns:: a string that names the subclass - what kind of classifier_desc is it? @rtype str

Class classifier_desc

__init__(self, list_of_classes, fvdim, evaluator=None, ftrim=None) (Constructor)

np(self)

npt(self)

unpack(self, prmvec, trainingset_name=None, uid=None)

__str__(self) (Informal representation operator)

__repr__(self) (Representation operator)

typename(self)

init(self, list_of_classes, fvdim, evaluator=None, ftrim=None)
(Constructor)

str(self)
(Informal representation operator)

repr(self)
(Representation operator)