dqa.tasks.transformations.LinearTransform#

class dqa.tasks.transformations.LinearTransform(intercept: float = 0, factor: Union[float, List[float]] = 1, factor_inv: Union[float, List[float]] = 1, **kwargs)#

Applies an affine linear transformation to the data with constant coefficients.

Computes the result (data) * factor / factor_inv + intercept.

Parameters:
  • intercept (float, default=0) – Constant term added to the data.

  • factor (float or list of floats, default=1) – The constant factor. If multiple values given, then they are multiplied.

  • factor_inv (float, default=1) – The inverse constant factor. If multiple values given, then they are multiplied.

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