Linear1D¶
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class
astropy.modeling.functional_models.Linear1D(slope=1, intercept=0, **kwargs)[source]¶ Bases:
astropy.modeling.Fittable1DModelOne dimensional Line model.
- Parameters
- slopefloat
Slope of the straight line
- interceptfloat
Intercept of the straight line
- Other Parameters
- fixeda dict, optional
A dictionary
{parameter_name: boolean}of parameters to not be varied during fitting. True means the parameter is held fixed. Alternatively thefixedproperty of a parameter may be used.- tieddict, optional
A dictionary
{parameter_name: callable}of parameters which are linked to some other parameter. The dictionary values are callables providing the linking relationship. Alternatively thetiedproperty of a parameter may be used.- boundsdict, optional
A dictionary
{parameter_name: value}of lower and upper bounds of parameters. Keys are parameter names. Values are a list or a tuple of length 2 giving the desired range for the parameter. Alternatively, theminandmaxproperties of a parameter may be used.- eqconslist, optional
A list of functions of length
nsuch thateqcons[j](x0,*args) == 0.0in a successfully optimized problem.- ineqconslist, optional
A list of functions of length
nsuch thatieqcons[j](x0,*args) >= 0.0is a successfully optimized problem.
See also
Notes
Model formula:
\[f(x) = a x + b\]Attributes Summary
This property is used to indicate what units or sets of units the evaluate method expects, and returns a dictionary mapping inputs to units (or
Noneif any units are accepted).Methods Summary
evaluate(x, slope, intercept)One dimensional Line model function
fit_deriv(x, *params)One dimensional Line model derivative with respect to parameters
Attributes Documentation
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input_units¶
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intercept= Parameter('intercept', value=0.0)¶
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linear= True¶
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param_names= ('slope', 'intercept')¶
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slope= Parameter('slope', value=1.0)¶
Methods Documentation