Release v1.6.1
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Major Features and Improvements
FederatedML
- Support single party prediction
- SIR support non-ascii id
- Selection support local iv filter
- Adjustable Paillier key length for Hetero LR
- Binning support iv calculation on categorical features
- Hetero LR one vs rest support evaluation during training
FATE-Flow:
- Support mysql storage engine;
- Added service registry interface;
- Added service query interface;
- Support fate on WeDataSphere mode
- Add lock when writing
model_local_cache
- Register the model download urls to zookeeper
Bug-Fix:
- Fix error for deploying module with lack of partial upstream modules in multi-input cases
- Fix error for deploying module with multiple output, like data-statistics
- Fix job id length no more than 25 limitation
- Fix error when loss function of Hetero SecureBoost set to log-cosh
- Fix setting predict label to string-type error when Hetero SecureBoost predicts
- Fix error for HeteroLR without intercept
- Fix quantile error of Data Statistics with specified columns
- Fix string parsing error of OneHot with specified columns
- Some parameters can now take 0 or 1 integer values when valid range is [0, 1]