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HumanEval / from typing import List

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mean_absolute_deviation

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from typing import List


def mean_absolute_deviation(numbers: List[float]) -> float:
    """ For a given list of input numbers, calculate Mean Absolute Deviation
    around the mean of this dataset.
    Mean Absolute Deviation is the average absolute difference between each
    element and a centerpoint (mean in this case):
    MAD = average | x - x_mean |
    >>> mean_absolute_deviation([1.0, 2.0, 3.0, 4.0])
    1.0
    """

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task_id: 34ef7007-89ed-54ca-ba51-caf24af3673d
task_key: openai~5fhumaneval--test--34ef7007-89ed-54ca-ba51-caf24af3673d
task_revision_id: 1
config / split: openai_humaneval / test

Official source

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