Class modeldesc

Virtual base class for a description of a model of a particular size.

Instance Methods

__init__(self, ndim)

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ndim(self)
This returns the dimensionality of the data.

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

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

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new(self, mu, invsigma)
Creates a model that contains data.

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

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Class Variables
	__doc__ = `"""Virtual base class for a description of a mo...`
	LF = `0.111111111111`

Method Details

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

Class Variable Details

Value:

"""Virtual base class for a description of a model
			of a particular size."""