BasicGaussianFitter

class glue.core.fitters.BasicGaussianFitter(**params)

Bases: BaseFitter1D

Fallback Gaussian fitter, for astropy < 0.3.

If astropy.modeling is installed, this class is replaced by SimpleAstropyGaussianFitter

Attributes Summary

label

Methods Summary

eval(x, amplitude, mean, stddev)
fit(x, y, dy, constraints)	Fit the model to data.
fit_deriv(x, amplitude, mean, stddev)	Gaussian1D model function derivatives.
predict(fit_result, x)	Evaluate the model at a set of locations.
summarize(fit_result, x, y[, dy])	Return a textual summary of the fit.

Attributes Documentation

label = 'Gaussian'

Methods Documentation

static eval(x, amplitude, mean, stddev)

fit(x, y, dy, constraints)

Fit the model to data.

This must be overriden by a subclass.

Parameters:

• x (numpy.ndarray) – The x values of the data

• y (numpy.ndarray) – The y values of the data

• dy (numpy.ndarray) – 1 sigma uncertainties on each datum (optional)

• constraints – The current value of the constraints property

• options – kwargs for model hyperparameters.

Returns:

An object representing the fit result.

static fit_deriv(x, amplitude, mean, stddev)

Gaussian1D model function derivatives.

predict(fit_result, x)

Evaluate the model at a set of locations.

This must be overridden in a subclass.

Parameters:

• fit_result – The result from the fit method

• x (numpy.ndarray) – Locations to evaluate model at

Returns:

model(x)

Return type:

numpy.ndarray

summarize(fit_result, x, y, dy=None)

Return a textual summary of the fit.

Parameters:

• fit_result – The return value from fit()

• x – The x values passed to fit()

Returns:

A description of the fit result

Return type:

str