Group: SuperML

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Core interfaces and base classes for SuperML framework

Linear regression and classification algorithms for SuperML

umetrics module for SuperML

Decision trees and ensemble algorithms for SuperML

Deep learning algorithms including MLPs, CNNs, and RNNs

Pipeline utilities for SuperML

Data preprocessing utilities for SuperML

Clustering algorithms for SuperML

Dataset utilities and loaders for SuperML

Model selection utilities including cross-validation and hyperparameter tuning

Common utilities and helper functions

Model persistence utilities for SuperML

Inference engine for SuperML

PMML model export and import functionality

Transformer models implementation for SuperML Java Framework

Visualization and plotting utilities for SuperML algorithms

Kaggle API integration and competition utilities for SuperML

Automated machine learning and hyperparameter optimization

Data and concept drift detection and monitoring

ONNX model export and import functionality