lib.samples.profiles.ParamCovariance¶

class lib.samples.profiles.ParamCovariance(covariance, parameters)¶

Bases: cosmopipe.lib.utils.BaseClass

Class that represents a parameter covariance. TODO: think about link with data_vector.CovarianceMatrix and mixing compressed data data vector covariance / parameter covariance, e.g. pre-recon + alpha?

Initialize ParamCovariance.

Parameters

covariance (array) – 2D array holding covariance.
parameters (list, ParameterCollection) – Parameters corresponding to input covariance.

Methods

`copy`	Return shallow copy of `self`.
`corrcoef`	Return correlation matrix for input parameters `parameters`.
`cov`	Return covariance matrix for input parameters `parameters`.
`deepcopy`
`from_state`	Instantiate and initalize class with state dictionary.
`invcov`	Return inverse covariance matrix for input parameters `parameters`.
`is_mpi_broadcast`
`is_mpi_gathered`
`is_mpi_root`
`is_mpi_scattered`
`load`	Load class in numpy binary format from disk.
`load_auto`	If different formats are possible, this method should between them based on file name extension.
`log_critical`
`log_debug`
`log_error`
`log_info`
`log_warning`
`save`	Save class to disk.
`save_auto`	If different formats are possible, this method should between them based on file name extension.

Attributes

`logger`
`mpiattrs`	MPI attributes
`mpicomm`
`mpiroot`
`mpistate`

copy()¶: Return shallow copy of self.

corrcoef(parameters=None)¶: Return correlation matrix for input parameters parameters.

cov(parameters=None)¶: Return covariance matrix for input parameters parameters.

classmethod from_state(state, mpiroot=0, mpicomm=None)¶: Instantiate and initalize class with state dictionary.

invcov(parameters=None)¶: Return inverse covariance matrix for input parameters parameters.

classmethod load(filename, mpiroot=0, mpicomm=None)¶: Load class in numpy binary format from disk. If the loaded state contains __class__ and that exists in cls._registry, return instance of cls._registry[__class__] (instead of cls).

load_auto(*args, **kwargs)¶: If different formats are possible, this method should between them based on file name extension.

property mpiattrs¶: MPI attributes

save(filename)¶: Save class to disk.

save_auto(*args, **kwargs)¶: If different formats are possible, this method should between them based on file name extension.