edges_cal.xrfi.ModelFilterInfo

class edges_cal.xrfi.ModelFilterInfo(n_flags_changed: list[int], total_flags: list[int], models: list[edges_cal.modelling.Model], res_models: list[edges_cal.modelling.Model] | None, n_iters: int, thresholds: list[float], stds: list[numpy.ndarray[float]], x: ndarray, data: ndarray, flags: list[numpy.ndarray[bool]])[source]

A simple object representing the information returned by model_filter().

Methods

`__init__`(n_flags_changed, total_flags, ...)
`from_file`(fname[, group])	Create the object by reading from a HDF5 file.
`get_absres_model`([indx])	Get the model of the absolute residuals.
`get_model`([indx])	Get the model values.
`get_residual`([indx])	Get the residuals.
`write`(fname[, group])	Write the object to a HDF5 file.

Attributes