Release 1.3.0
By downloading, installing or using the software, you accept and agree to be bound by all of the terms and conditions of the LICENSE and DISCLAIMER.
Major Features and Improvements
FederatedREC
- Add federated recommendation submodule
- Add heterogeneous Factoraization Machine
- Add hemogeneous Factoraization Machine
- Add heterogeneous Matrix Factorization
- Add heterogeneous Singular Value Decomposition
- Add heterogeneous SVD++ (Factorization Meets the Neighborhood)
- Add heterogeneous Generalized Matrix Factorization
FederatedML
- Support Sparse data training in heterogeneous General Linear Model(Hetero-LR、Hetero-LinR、Hetero-PoissonR)
- Fix 32M limitation of quantile binning to support higher feature dimension
- Fix 32M limitation of histogram statistics for SecureBoost to support higher feature dimension training.
- Add abnormal parameters and input data detection in OneHot Encoder
- fix not passing validate data to fit process to support evaluate validation data during training process
Fate-Flow
- Add clean job CLI for cleaning output and intermediate results, including data, metrics and sessions
- Support for obtaining table namespace and name of output data via CLI
- Fix KillJob unsuccessful execution in some special cases
- Improve log system, add more exception and run time status prompts