Class imbalance is a common challenge in machine learning, where the minority class is underrepresented and often harder to learn accurately. Traditional oversampling methods such as SMOTE can improve ...

An MVP system for feature engineering and causal discovery for pump equipment. v0.1.3 adds automatic data imbalance correction using SMOTE, ensuring robust causal inference even with severely ...