edges_cal.modelling.Polynomial

class edges_cal.modelling.Polynomial(*, parameters=None, n_terms=_Nothing.NOTHING, transform: ModelTransform = IdentityTransform(), offset=0)[source]

A polynomial foreground model.

Parameters:

log_x (bool) – Whether to fit the poly coefficients with log-space co-ordinates.
offset (float) – An offset to use for each index in the polynomial model.
kwargs – All other arguments passed through to Foreground.

Notes

The polynomial model can be written

\[\sum_{i=0}^{n} c_i y^{i + offset},\]

where y is log(x) if log_x=True and simply x otherwise.

Methods

`__init__`(*[, parameters, n_terms, ...])	Method generated by attrs for class Polynomial.
`at`(**kwargs)	Get an evaluated linear model.
`fit`(xdata, ydata[, weights])	Create a linear-regression fit object.
`from_str`(model, **kwargs)	Obtain a `Model` given a string name.
`get_basis_term`(indx, x)	Define the basis functions of the model.
`get_basis_term_transformed`(indx, x)	Get the basis term after coordinate transformation.
`get_basis_terms`(x)	Get a 2D array of all basis terms at `x`.
`with_nterms`([n_terms, parameters])	Return a new `Model` with given nterms and parameters.
`with_params`(parameters)	Get new model with different parameters.

Attributes

`default_n_terms`
`n_terms_max`
`n_terms_min`
`offset`
`parameters`
`n_terms`
`transform`