8000 LocalOutlierFactor throws scipy FutureWarning: non-tuple sequence · Issue #12608 · scikit-learn/scikit-learn · GitHub
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LocalOutlierFactor throws scipy FutureWarning: non-tuple sequence #12608

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nocibambi opened this issue Nov 18, 2018 · 3 comments
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LocalOutlierFactor throws scipy FutureWarning: non-tuple sequence #12608

nocibambi opened this issue Nov 18, 2018 · 3 comments

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@nocibambi
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Description

FutureWarning thrown when calling fit on LocalOutlierFactor

Steps/Code to Reproduce

Example:

import numpy as np
from sklearn.neighbors import LocalOutlierFactor

d = np.random.randn(100, 100)
lof = LocalOutlierFactor()
lof.fit(d)

Expected Results

Only the LocalOutlierFactor:

LocalOutlierFactor(algorithm='auto', contamination=0.1, leaf_size=30,
metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=20,
p=2)

Actual Results

/home/andras/anaconda3/lib/python3.6/site-packages/scipy/stats/stats.py:1713: FutureWarning: Using a non-tuple sequence for multidimensional indexing is deprecated; use arr[tuple(seq)] instead of arr[seq]. In the future this will be interpreted as an array index, arr[np.array(seq)], which will result either in an error or a different result.
return np.add.reduce(sorted[indexer] * weights, axis=axis) / sumval

LocalOutlierFactor(algorithm='auto', contamination=0.1, leaf_size=30,
metric='minkowski', metric_params=None, n_jobs=1, n_neighbors=20,
p=2)

Versions

Linux-4.15.0-39-generic-x86_64-with-debian-buster-sid
Python 3.6.6 |Anaconda custom (64-bit)| (default, Jun 28 2018, 17:14:51)
[GCC 7.2.0]
NumPy 1.15.1
SciPy 1.1.0
Scikit-Learn 0.19.2
@jnothman
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jnothman commented Nov 18, 2018 via email

@rth
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rth commented Nov 18, 2018

Please check with scikit-learn master.

or at least 0.20.0.

@qinhanmin2014
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Resolved in master, please update to 0.20.0.
See #11697, #11714.

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@jnothman @rth @nocibambi @qinhanmin2014
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