ephypype.interfaces.mne.NoiseCovariance

class ephypype.interfaces.mne.NoiseCovariance(from_file=None, resource_monitor=None, ignore_exception=False, **inputs)

Compute the noise covariance matrix.

Parameters:

raw_filenamestr

Filename of the raw data

cov_fname_instr

Filename of the noise covariance matrix

is_epochedbool

True if we want to epoch the data

is_evokedbool

True if we want to analyze evoked data

events_iddict

The id of all events to consider

t_minfloat

start time before event

tmaxfloat

End time after event

Returns:

cov_fname_outstr

Filename of the noise covariance matrix

__init__(from_file=None, resource_monitor=None, ignore_exception=False, **inputs)

Subclasses must implement __init__

Methods

__init__([from_file, resource_monitor, ...])	Subclasses must implement __init__
aggregate_outputs([runtime, needed_outputs])	Collate expected outputs and apply output traits validation.
help([returnhelp])	Prints class help
load_inputs_from_json(json_file[, overwrite])	A convenient way to load pre-set inputs from a JSON file.
run([cwd, ignore_exception])	Execute this interface.
save_inputs_to_json(json_file)	A convenient way to save current inputs to a JSON file.

Attributes

always_run	Should the interface be always run even if the inputs were not changed? Only applies to interfaces being run within a workflow context.
can_resume	Defines if the interface can reuse partial results after interruption.
resource_monitor
version	interfaces should implement a version property