Which scikit learn version will this mooc use?

Welcome Course presentation
#1

Hello everybody,
First of all thank you for this opportunity.
I would like to know if the scikit-learn version this mooc will use is >= 1.0.0 ?
Best regards,

4 Likes
#2

Hello and welcome!

The version hosted in FUN is the latest release, i.e. scikit-learn-1.0.2. If you are running the notebooks locally, we recommend using any version >= 1.0.0.

Thanks for joining us!

2 Likes
#3

For information, you can introspect the versions of the most important libraries with:

import sklearn
sklearn.show_versions()

On the current jupyter hub installation:

System:
    python: 3.9.10 | packaged by conda-forge | (main, Feb  1 2022, 21:24:11)  [GCC 9.4.0]
executable: /opt/conda/bin/python
   machine: Linux-4.15.0-166-generic-x86_64-with-glibc2.31

Python dependencies:
          pip: 22.0.3
   setuptools: 59.8.0
      sklearn: 1.0.2
        numpy: 1.21.5
        scipy: 1.8.0
       Cython: 0.29.27
       pandas: 1.4.1
   matplotlib: 3.5.1
       joblib: 1.1.0
threadpoolctl: 3.1.0

Built with OpenMP: True
8 Likes
#4

1.0.0

#5

How can I get the decision boundary function locally? I am familiar with basic git usage and can compile things if needed. Can’t wait till that’s released. Thank you! -Pritam

#6

I think the simplest thing to do if you want to run notebooks locally is to follow the local installation instructions mentioned in the MOOC’s github repo.

#7

You can install the development version of scikit-learn:

if you wish.

#8

Note however that the utility to plot the decision function is only useful for educational purpose on toy datasets with only 2 input features.

In real life settings, machine learning models are typically trained on 10, 100 or even 1000 of features and plotting the decision function is not possible.