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pydata_berlin_2022_scikit_learn_tutorial's Introduction

PyConDE & PyData Berlin 2022 - scikit-learn tutorial

Some intro slides

Follow the tutorial online

  • Launch an online notebook environment using: Binder

You need an internet connection but you will not have to install any package locally.

Running the tutorial locally

Dependencies

The tutorials will require the following packages:

  • python
  • jupyter
  • scikit-learn
  • pandas
  • matplotlib
  • seaborn
  • shap

Local install

We provide both requirements.txt and environment.yml to install packages.

You can install the packages using pip:

$ pip install -r requirements.txt

You can create an sklearn-tutorial conda environment executing:

$ conda env create -f environment.yml

and later activate the environment:

$ conda activate sklearn-tutorial

You might also only update your current environment using:

$ conda env update --prefix ./env --file environment.yml  --prune

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pydata_berlin_2022_scikit_learn_tutorial's Issues

'Pipeline' object has no attribute 'get_feature_names_out'

Hi, thank you so much for this very informative talk.

I've been trying to follow up with your tutorial using the first notebook "plot_linear_model_coefficient_interpretation.ipynb", but I ran into this error ==> "AttributeError: 'Pipeline' object has no attribute 'get_feature_names_out'" when executing this line of code "feature_names = model[:-1].get_feature_names_out()".

People on stackoverflow and github provided different solutions to this but none of them worked for me.

Any Ideas for how to solve this issue ?

Thank you.

Question: usage of sp.special.exp10

Hi Guillaume,

Thanks for the very interesting talk you gave!
I am wondering if there was a reason why you use sp.special.exp10 and not np.exp10 for the inverse function?

Cheers

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