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svm.SVR has no _n_support

See original GitHub issue

Description

svm.SVR has no _n_support but has n_support_ as its property. The other part of the member functions still use _n_support.

  File "/home/ubuntu/.pyenv/versions/3.7.5/lib/python3.7/site-packages/sklearn/svm/_base.py", line 317, in predict
    return predict(X)
  File "/home/ubuntu/.pyenv/versions/3.7.5/lib/python3.7/site-packages/sklearn/svm/_base.py", line 335, in _dense_predict
    X, self.support_, self.support_vectors_, self._n_support,
AttributeError: 'SVR' object has no attribute '_n_support'

Steps/Code to Reproduce

Expected Results

Actual Results

Versions

System: python: 3.7.5 (default, Nov 20 2019, 04:09:21) [GCC 7.4.0] executable: /home/ubuntu/.pyenv/versions/3.7.5/bin/python machine: Linux-4.15.0-1056-aws-x86_64-with-debian-buster-sid

Python dependencies: pip: 19.3.1 setuptools: 41.6.0 sklearn: 0.22 numpy: 1.17.4 scipy: 1.3.3 Cython: None pandas: 0.25.3 matplotlib: 3.1.1 joblib: 0.14.0

Built with OpenMP: True

Issue Analytics

State:
Created 4 years ago
Comments:11 (7 by maintainers)

Top GitHub Comments

1reaction

KowsalyaR97commented, Mar 25, 2020

Use this link https://ibex.readthedocs.io/en/latest/_modules/sklearn/svm/base.html and change the _base.py file in a directory C:\Users.…\site-packages\sklearn\svm_base.py .

1reaction

jnothmancommented, Dec 18, 2019

Agreed. See the model persistence documentation for potential solutions

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