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README.md
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title: Mahalanobis Distance
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sdk: gradio
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app_file: app.py
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- evaluate
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- metric
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# Metric Card for Mahalanobis Distance
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## Metric Description
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title: Mahalanobis Distance
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emoji: 🤗
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sdk: gradio
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app_file: app.py
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pinned: false
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tags:
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- evaluate
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- metric
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description: >-
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Compute the Mahalanobis Distance
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Mahalonobis distance is the distance between a point and a distribution.
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And not between two distinct points. It is effectively a multivariate
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equivalent of the Euclidean distance.
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It was introduced by Prof. P. C. Mahalanobis in 1936
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and has been used in various statistical applications ever since
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[source: https://www.machinelearningplus.com/statistics/mahalanobis-distance/]
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# Metric Card for Mahalanobis Distance
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## Metric Description
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