edges_cal.modelling.Model

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

A base class for a linear model.

Methods

`__init__`(*[, parameters, n_terms, transform])	Method generated by attrs for class Model.
`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 terms for 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