def __init__()

in smdebug_rulesconfig/profiler_rules/rules.py [0:0]

• 8 lines of code
• 2 McCabe index (conditional complexity)

    def __init__(self, stddev=3, mode=None, n_outliers=10, scan_interval_us=60 * 1000 * 1000):
        """
        This rule helps to detect outlier in step durations. Rule returns True if duration is larger than stddev * standard deviation.
        :param stddev: factor by which to multiply the standard deviation. Default is 3
        :param mode: select mode under which steps have been saved and on which Rule should run on. Per default rule will run on steps from EVAL and TRAIN phase.
        :param n_outliers: How many outliers to ignore before rule returns True. Default 10.
        :param scan_interval_us: interval with which timeline files are scanned. Default is 60000000 us.
        """
        validate_positive_integer(self.__class__.__name__, "stddev", stddev)
        assert mode is None or isinstance(mode, str), "Mode must be a string if specified!"
        validate_positive_integer(self.__class__.__name__, "n_outliers", n_outliers)
        validate_positive_integer(self.__class__.__name__, "scan_interval_us", scan_interval_us)

        super().__init__(
            stddev=stddev, mode=mode, n_outliers=n_outliers, scan_interval_us=scan_interval_us
        )