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Release v0.4.2

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@brightcoder01 brightcoder01 released this 28 Aug 12:00
v0.4.2
0ac724a
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Learn about vigilant mode.

Major Features and Improvements

  • Add three pre-made Runnable: extract_ts_features (extract time series features using tsfresh), binning and psi
  • Model Meta Design: get the model metadata (such as docker image name for TO TRAIN, model type and so on) when generating prediction workflow step code
  • Distinguish XGBoost model when generating prediction workflow code
  • Support config https for jupyterhub

Refactorization

  • Implement the end-to-end workflow of XGBoost prediction and evaluation
  • Implement predict and explain in Alisa submitter at runtime
  • Unify the API of local and PAI submitter
  • Simplify HDFS parameters

Bug Fixes

  • Fix titanic Maxcompute dataset importing when FLOAT data type is not enabled
  • Fix generate Couler evaluate step in workflow mode.
  • Fix paiio reading table bug when running TO EXPLAIN on PAI.
  • Fix XGBoost data compatibility issue: compatible with various CSV format such as a,b,c, and a, b, c, and the string containing /
  • Fix explain issue when SHAP values are not listed
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