Ordinal Classification/Regression

Turn your favourite classifier into an ordinal classifier.

Ordinal classification packages where every sklearn classifier is supported.

You need to have more than 2 labels for your features obviously!

The classification is based upon this paper over here:

[1] https://dl.acm.org/doi/10.1007/3-540-44795-4_13

!git clone https://github.com/mosh98/Ordinal_Classifier.git

wait! i havent deployed to pypi yet, will do it when i feel like it.

How do i use it?

1. import your favourite classifier from sklearn
2. Insert that clf into the OrdinalClassifier
3. Call fit and predict on your data

Here is an example:

from Ordinal_Classifier import Ordinal_Classifier as OC
from sklearn.tree import DecisionTreeClassifier

clf = OC.OrdinalClassifier(DecisionTreeClassifier())

clf.fit(X_train, y_train)
  
predictions = clf.predict(X_test)

# TADA! You just became a regression master! 
# By exploting an unemployed engineer. Remember that when you sleep 

Please pull an issue if you find any bugs

Enjoy!!