dqa.tasks.transformations.Convolution1D#

class dqa.tasks.transformations.Convolution1D(mask: List[float], **kwargs)#

Performs a one-dimensional convolution with a fixed vector.

The data array is padded with the values at the beginning and end in such a way that the result has the same length as the input.

Parameters:

mask – The mask that the convolution is performed with.

Methods

finish()

Can perform actions that are required to clean up after the task has finished, e.g.

in_out_default

input_output_dataset

input_output_machine

input_output_mode

input_output_name

log

modify_data_row

modify_dataset

modify_dataset_dict

modify_machine

modify_measurement

set_logging_level

transfer_metadata