Release-3.0.0
Starting from version 3.0, angel will maintain two separate version series: 2.X and 3.X. We have added the hotfix-2, master-2 and develop-2 branches for 2.X series versions.
Angel has evolved from a single model training system to a comprehensive computing platform that includes all phases of machine learning: data preprocessing, model training, model services, automatic hyper-parameter tuning, and automatic feature engineering. Based on the Angel PS service, we built Angel's ecosystem: sona (Spark On Angel) and PyTorch On Angel. Our algorithms cover basic machine learning algorithms, deep learning algorithms, graph algorithms and GNN algorithms. In order to make the project structure more clear, we split the original project into 8 sub-projects:
: Angel's core layer, providing powerful parameter server function. Of course, you can use it to train the model independently.