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DeprecationWarning when importing IsolationForest

See original GitHub issue

Description

DeprecationWarning when importing IsolationForest.

Steps/Code to Reproduce

from sklearn.ensemble import IsolationForest

Expected Results

No error.

Actual Results

~/anaconda3/lib/python3.6/site-packages/sklearn/ensemble/weight_boosting.py:29: DeprecationWarning: numpy.core.umath_tests is an internal NumPy module and should not be imported. It will be removed in a future NumPy release. from numpy.core.umath_tests import inner1d

Versions

Linux-4.15.0-29-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 1.15.0 SciPy 1.1.0 Scikit-Learn 0.19.2

Issue Analytics

State:
Created 5 years ago
Reactions:7
Comments:15 (6 by maintainers)

Top GitHub Comments

4reactions

ferryscommented, Aug 22, 2018

Also encountering this exact same error when importing RandomForestClassifier

Reproduced by from sklearn.ensemble import RandomForestClassifier

Versions: scikit-learn 0.19.2 numpy 1.15.1

3reactions

rthcommented, Sep 2, 2018

I checked with conda search scikit-learn --channel conda-forge and there is no 0.20 listed there.

Try,

conda install scikit-learn=0.20rc1 -c conda-forge/label/rc -c conda-forge

There is error message for 0.19.1 and 0.19.2 There is no error message for 0.20rc1

It’s not an error, just a warning that was recently fixed. Use 0.20rc1 to avoid this warning message.

under this numpy version I also got the following error message RuntimeWarning: numpy.dtype size changed, may indicate binary incompatibility

Again, warning. This warning was fixed it numpy 1.15.1 (see release notes). It can be safely ignored, I think.

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