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Fix mean computation in Mahalanobis distance #471

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Fix mean computation in Mahalanobis distance #471

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Fix typo: Mahalonobis -> Mahalanobis
j0ma Jul 12, 2023
83393f2
Compute mean of reference distribution across observation dimension i…
j0ma Jul 12, 2023
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Fix typo: Mahalonobis -> Mahalanobis
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@j0ma
j0ma committed Jul 12, 2023
commit fb242cc9b8e60a382db0cc3730a8d892ec26d172
4 changes: 2 additions & 2 deletions metrics/mahalanobis/mahalanobis.py
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Expand Up @@ -22,7 +22,7 @@
_DESCRIPTION = """
Compute the Mahalanobis Distance

Mahalonobis distance is the distance between a point and a distribution.
Mahalanobis distance is the distance between a point and a distribution.
And not between two distinct points. It is effectively a multivariate equivalent of the Euclidean distance.
It was introduced by Prof. P. C. Mahalanobis in 1936
and has been used in various statistical applications ever since
Expand All @@ -47,7 +47,7 @@
X: List of datapoints to be compared with the `reference_distribution`.
reference_distribution: List of datapoints from the reference distribution we want to compare to.
Returns:
mahalanobis: The Mahalonobis distance for each datapoint in `X`.
mahalanobis: The Mahalanobis distance for each datapoint in `X`.
Examples:

>>> mahalanobis_metric = evaluate.load("mahalanobis")
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