Please help, after importing the library output error in google colab notebook/kaggle notebook/ local jupiter notebook

[TrusovOleg]

Example:
from sklearn.semi_supervised import SelfTrainingClassifier

[TrusovOleg]

---

ImportError Traceback (most recent call last)
in
----> 1 from sklearn.semi_supervised import SelfTrainingClassifier

ImportError: cannot import name 'SelfTrainingClassifier' from 'sklearn.semi_supervised' (/opt/conda/lib/python3.7/site-packages/sklearn/semi_supervised/init.py)

[TomDLT]

SelfTrainingClassifier is available starting from version 0.24. You might need to update scikit-learn.

[TrusovOleg]

SelfTrainingClassifier is available starting from version 0.24. You might need to update scikit-learn.

It doesn't work

[TrusovOleg]

these libraries are run without problems :

semi_supervised.LabelPropagation
semi_supervised.LabelSpreading

[TomDLT]

Please run import sklearn; sklearn.show_versions() as mentioned in the issue template.

[TrusovOleg]

System:
python: 3.6.9 (default, Oct 8 2020, 12:12:24) [GCC 8.4.0]
executable: /usr/bin/python3
machine: Linux-4.19.112+-x86_64-with-Ubuntu-18.04-bionic

Python dependencies:
pip: 19.3.1
setuptools: 53.0.0
sklearn: 0.22.2.post1
numpy: 1.19.5
scipy: 1.4.1
Cython: 0.29.21
pandas: 1.1.5
matplotlib: 3.2.2
joblib: 1.0.0

Built with OpenMP: True

[TrusovOleg]

even after installation, the version is old
pip install scikit-learn==0.24.1

Requirement already satisfied: scikit-learn==0.24.1 in /usr/local/lib/python3.6/dist-packages (0.24.1)
Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-learn==0.24.1) (1.0.0)
Requirement already satisfied: scipy>=0.19.1 in /usr/local/lib/python3.6/dist-packages (from scikit-learn==0.24.1) (1.4.1)
Requirement already satisfied: numpy>=1.13.3 in /usr/local/lib/python3.6/dist-packages (from scikit-learn==0.24.1) (1.19.5)
Requirement already satisfied: threadpoolctl>=2.0.0 in /usr/local/lib/python3.6/dist-packages (from scikit-learn==0.24.1) (2.1.0)

[lesteve]

@TrusovOleg 99% chance that this is a problem on your end. Possible explanations:

• you have not restarted your Jupyter kernel after installation (probably not this, but mentioning it just in case)
• the Python you are using in your Jupyter notebook is not the same Python where you have installed the latest version of scikit-learn. import os; print(os.__file__) for example will show you the Python you are using in your Jupyter notebook.

Good post by Jake van der Plas on this: https://jakevdp.github.io/blog/2017/12/05/installing-python-packages-from-jupyter/#The-Details:-Why-is-Installation-from-Jupyter-so-Messy?

[lesteve]

I am going to move this to a Github Discussion, because this is with super-high probability not a bug in scikit-learn.