v2.1

What is new in 2.1:

• Add RBO baseline values logic and notebook
• Update requirements

v2.0

What is new in 2.0:

• Add support for support vector machines (classifier)
• Add confusion matrix and roc curve plots to classification problems.
• Remove one of the OHEd features when OHEing binary features.
• Add RBOs for feature importance.
• Add explanations with optimized lime and lime stability.
• Reconstruct textual explanations for local interpreters (LIME and SHAP)
• Add GridSearch and RandomizedSearch for training.
• Many bug fixes.

v1.2

• Add example notebook for dataset Risk Factors for Cervical Cancer.
• Add data preprocessing features to the example notebooks.
• Improve auto-generated explanations.
• Minor bugfixes.