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    Home / v1.3.0
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    README.md 2022-11-09 561 Bytes
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    Release v1.3.0 source code.tar.gz 2022-11-09 1.4 MB
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    • 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;
    Source: README.md, updated 2022-11-09