What is planned for v0.2.0?

[VolodymyrOrlov]

This is a list of algorithms that are planned for v0.2.0. Feel free to let me know if If there is any particular algorithm that you would like to work on/include in the upcoming release.

• Clustering
  • DBScan
  • Hierarchical Clustering(@Mec-iS )
• Dimensionality reduction
  • SVD
• Supervised learning
  • SVM

On top of new algorithms we plan these improvements:

• k-fold cross-validation(@VolodymyrOrlov )
• new predict_proba method that predicts probabilities, where it makes sense
• Ridge, Lasso, ElasticNet for Logistic and Linear regression

Optional Features (If we have time and spare hands)

• Integration with Polars
• Method that prints model summary, similar to [R's summary function]
  (https://www.rdocumentation.org/packages/base/versions/3.6.2/topics/summary)
• Naive Bayes @morenol

Next release is planned for the end of this year. Help needed :)

[VolodymyrOrlov]

Closing this issue since v0.2 has been released. I will move all unfinished features into separate issues.