satlas.models.models.PolynomialModel

class satlas.models.models.PolynomialModel(args)

Constructs a polynomial response.

__init__(args)

PolynomialModel creates a general polynomial of the order given by len(args)-1. The given coefficients are ordered lowest to highest order.

Parameters:args (iterable of values) – Iterable containing all the values for the coefficients. Polynomial order is determined by the length. args[0] is the coefficient of order 0, etc...

__call__(x)

Methods

__init__(args)	PolynomialModel creates a general polynomial
__call__(x)
display_chisquare_fit([scaled])	Display all relevent info of the least-squares fitting routine, if this has been performed.
display_mle_fit([scaled])	Give a readable overview of the result of the MLE fitting routine.
get_chisquare_mapping()
get_lnprior_mapping(params)
get_result([selection])	Return the variable names, values and estimated error bars for the parameters as seperate lists.
get_result_dict([method, scaled])	Returns the fitted parameters in a dictionary of the form {name: [value, uncertainty]}.
get_result_frame([method, selected, bounds, ...])	Returns the data from the fit in a pandas DataFrame.
save(path)	Saves the current spectrum, including the results of the fitting and the parameters, to the specified file.
seperate_response(x)	Wraps the output of the __call__ in a list, for ease of coding in the fitting routines.
set_boundaries(boundaryDict)	Sets the boundaries of the fitparameters as supplied in the dictionary.
set_chisquare_mapping(mappingDict)	Sets the prior mapping for the different parameters.
set_expr(exprDict)	Sets the expression of the selected parameters to the given expressions.
set_literature_values(literatureDict)	Sets the lnprior and chisquare mapping to handle the given literature values and uncertainties.
set_lnprior_mapping(mappingDict)	Sets the prior mapping for the different parameters.
set_value(valueDict)	Sets the value of the given parameters to the given values.
set_variation(varyDict)	Sets the variation of the fitparameters as supplied in the dictionary.

Attributes

params