edges_cal.modelling.CompositeModel

class edges_cal.modelling.CompositeModel(*, models: dict[str, edges_cal.modelling.Model], extra_basis: dict[str, numpy.ndarray] = _Nothing.NOTHING)[source]

Methods

`__init__`(*, models[, extra_basis])	Method generated by attrs for class CompositeModel.
`at`(**kwargs)	Get an evaluated linear model.
`fit`(xdata, ydata[, weights])	Create a linear-regression fit object.
`get_basis_term`(indx, x)	Define the basis terms for the model.
`get_basis_term_transformed`(indx, x)	Get the basis function term after coordinate tranformation.
`get_basis_terms`(x)	Get a 2D array of all basis terms at `x`.
`get_extra_basis`(model[, x])	Get the extra model-dependent basis function for a given model.
`get_model`(model[, parameters, x, with_extra])	Calculate a sub-model.
`with_nterms`(model[, n_terms, parameters])	Return a new `Model` with given nterms and parameters.
`with_params`(parameters)	Get a new model with specified parameters.

Attributes

`model_idx`	Dictionary of parameter indices correponding to each model.
`n_terms`	The number of terms in the full composite model.
`parameters`	The read-only list of parameters of all sub-models.
`models`
`extra_basis`