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. close network connections etc.

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