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preprocessing.scaling

logger_config​

logger​

rescaling​

def rescaling(config: dict,
              read_from_variable: str = "position_processed",
              save_to_variable: str = "position_scaled",
              save_logs: bool = True) -> None

Rescale the position data by dividing by the individual scale values.

Parameters

  • config (dict): Configuration dictionary.
  • read_from_variable (str, optional): Variable to read from the dataset.
  • save_to_variable (str, optional): Variable to save the rescaled data to.
  • save_logs (bool, optional): Whether to save logs.

Returns

  • None

rescale_dataset​

def rescale_dataset(ds: xr.Dataset, read_from_variable: str,
                    save_to_variable: str) -> None

Divide one session's positions by each individual's individual_scale, in place.

Parameters

  • ds (xr.Dataset): Session dataset.
  • read_from_variable (str): Variable to read from the dataset.
  • save_to_variable (str): Variable to save the rescaled data to.

Returns

  • None