Release v1.4.1

• Feat:
  • Operators:
    • Horizontal: xgboost;

Release v1.4.0

• Feat:

  • Operators:
    • Vertical：poisson_regression;
    • Horizontal: poisson_regression, kmeans, gcn_mol, vgg_jax;
  • New horizontal template for Jax;

• Improvement:

  • The vertical operator parameters are simplified, and the assist_trainer parameter does not need to be configured before training;

Release v1.3.0

• Feat:
  • Operators:
    • Vertical：linear_regression, sampler;
    • Horizontal: bert, densenet, vgg, woe_iv;
    • Local: data_split, data_statistic, feature_preprocess;
  • New horizontal templates for TensorFlow, PaddlePaddle;
  • Vertical XGBoost supports category features and offline inference, the output model file changes to json format；
  • Vertical K-Means supports new initial method kmeans++；
• Improvement:
  • The vertical operator parameters are simplified, and the assist_trainer parameter does not need to be configured before training;

v1.2.0

Initial release of XFL