Linear1D

class astropy.modeling.functional_models.Linear1D(slope=1, intercept=0, **kwargs)[source] [edit on github]

Bases: astropy.modeling.Fittable1DModel

One dimensional Line model.

Parameters:

slope : float

Slope of the straight line

intercept : float

Intercept of the straight line

Other Parameters:
 

fixed : a dict

A dictionary {parameter_name: boolean} of parameters to not be varied during fitting. True means the parameter is held fixed. Alternatively the fixed property of a parameter may be used.

tied : dict

A dictionary {parameter_name: callable} of parameters which are linked to some other parameter. The dictionary values are callables providing the linking relationship. Alternatively the tied property of a parameter may be used.

bounds : dict

A dictionary {parameter_name: boolean} of lower and upper bounds of parameters. Keys are parameter names. Values are a list of length 2 giving the desired range for the parameter. Alternatively the min and max properties of a parameter may be used.

eqcons : list

A list of functions of length n such that eqcons[j](x0,*args) == 0.0 in a successfully optimized problem.

ineqcons : list

A list of functions of length n such that ieqcons[j](x0,*args) >= 0.0 is a successfully optimized problem.

See also

Const1D

Notes

Model formula:

\[f(x) = a x + b\]

Attributes Summary

input_units
intercept
linear
param_names
slope

Methods Summary

evaluate(x, slope, intercept) One dimensional Line model function
fit_deriv(x, slope, intercept) One dimensional Line model derivative with respect to parameters

Attributes Documentation

input_units
intercept
linear = True
param_names = ('slope', 'intercept')
slope

Methods Documentation

static evaluate(x, slope, intercept)[source] [edit on github]

One dimensional Line model function

static fit_deriv(x, slope, intercept)[source] [edit on github]

One dimensional Line model derivative with respect to parameters