Class quadratic

This describes a quadratic model of a known size.

Instance Methods

__init__(self, dataset=None, ndim=None)

source code

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, bias=0.0)
Creates a model that contains data.

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start(self, data)
Returns (starting position vector, covariance matrix)

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

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

Method Details

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)

This returns some subclass of model.

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

Creates a model that contains data.

Returns (starting position vector, covariance matrix)