Package gmisclib :: Module multivariance_mm :: Class multi_mu

Class multi_mu

This describes a quadratic model of a known size, with multiple means (one for each different class of data).

Instance Methods

__init__(self, dataset=None, ndim=None, idmap=None, details=None)
You either give it a complete dataset to look at, including class IDs, *or* the dimensionality of the data (ndim) and a map between classids and integers.

source code

modeldim(self)
This gives the dimensionality of the model, i.e.

source code

unpack(self, prms)
This returns some subclass of model.

source code

new(self, mu, invsigma, bias=0.0)
Mu is a mapping of classids to vectors.

source code

start(self, data)
Selects a random starting point from the dataset.

source code

ndim(self)
This returns the dimensionality of the data. (Inherited from gmisclib.multivariance_classes.modeldesc)

source code

Class Variables
	__doc__ = `"""This describes a quadratic model of a known si...`
	LF = `0.111111111111` (Inherited from gmisclib.multivariance_classes.modeldesc)

Method Details

init(self, dataset=None, ndim=None, idmap=None, details=None)
(Constructor)

source code

You either give it a complete dataset to look at, including class IDs, *or* the dimensionality of the data (ndim) and a map between classids and integers. This map can be obtained from nice_hash.

Overrides: multivariance_classes.modeldesc.__init__

modeldim(self)

source code

This gives the dimensionality of the model, i.e. the number of parameters required to specify the means and covariance matrix(ces).

Overrides: multivariance_classes.modeldesc.modeldim: (inherited documentation)

unpack(self, prms)

source code

This returns some subclass of model.

Overrides: multivariance_classes.modeldesc.unpack: (inherited documentation)

new(self, mu, invsigma, bias=0.0)

source code

Mu is a mapping of classids to vectors. invsigma is a square matrix.

Overrides: multivariance_classes.modeldesc.new

start(self, data)

source code

Selects a random starting point from the dataset.

Overrides: multivariance_classes.modeldesc.start: (inherited documentation)

Class Variable Details

doc

Value:

"""This describes a quadratic model of a known size,
			with multiple means
			(one for each different class of data)."""

Class multi_mu

__init__(self, dataset=None, ndim=None, idmap=None, details=None) (Constructor)

modeldim(self)

unpack(self, prms)

new(self, mu, invsigma, bias=0.0)

start(self, data)

__doc__

init(self, dataset=None, ndim=None, idmap=None, details=None)
(Constructor)

doc