8000 Optics · Issue #11954 · scikit-learn/scikit-learn · GitHub
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Optics #11954

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michaeloc opened this issue Aug 31, 2018 · 3 comments
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Optics #11954

michaeloc opened this issue Aug 31, 2018 · 3 comments

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@michaeloc
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Description

Unknown metric haversine. Valid metrics are ['euclidean', 'l2', 'l1', 'manhattan', 'cityblock', 'braycurtis', 'canberra', 'chebyshev', 'correlation', 'cosine', 'dice', 'hamming', 'jaccard', 'kulsinski', 'mahalanobis', 'matching', 'minkowski', 'rogerstanimoto', 'russellrao', 'seuclidean', 'sokalmichener', 'sokalsneath', 'sqeuclidean', 'yule', 'wminkowski'], or 'precomputed', or a callable

Steps/Code to Reproduce

from sklearn.cluster import OPTICS
opt = OPTICS(min_samples=5,metric='haversine')
opt.fit_predict(lat_lng)

Expected Results

Actual Results

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@adrinjalali
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AFAIK, at the moment OPTICS supports what's supported in NearestNeighbors and pairwise_distances, which is what you see in the reported list.

Is this a feature request?

Funny enough, the metric's documentation doesn't even include all the options reported in your error message.

I've noticed the documentation of metric could be better. It's WIP (#11857)

@jnothman
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jnothman commented Sep 1, 2018 via email

@michaeloc
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michaeloc commented Sep 1, 2018 via email

@adrinjalali adrinjalali mentioned this issue Sep 5, 2018
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@koushiksaha89 koushiksaha89 mentioned this issue Oct 29, 2018
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@jnothman @adrinjalali @michaeloc @qinhanmin2014
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