Inheritance diagram for nipy.algorithms.statistics.models.nlsmodel:
Non-linear least squares model
Bases: nipy.algorithms.statistics.models.model.Model
Class representing a simple nonlinear least squares model.
Methods
SSE | |
fit | |
getZ | |
getomega | |
initialize | |
next | |
predict |
Initialize non-linear model instance
Parameters : | Y : ndarray
design : ndarray
f : callable
grad : callable
niter : int
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Sum of squares error.
Returns : | sse: float :
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Fit a model to data.
Set Z into self
Returns : | None : |
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Set omega into self
Returns : | None : |
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Initialize (possibly re-initialize) a Model instance. For instance, the design matrix of a linear model may change and some things must be recomputed.
Do an iteration of fit
Returns : | None : |
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Get predicted values for design or self.design
Parameters : | design : None or array
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Returns : | y_predicted : array
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