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Releases: FederatedAI/FATE-Flow

Release v1.9.1

23 Nov 08:51
6feffaf
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Bug Fixes

  • Fix parameter inheritance when loading non-model modules from ModelLoader
  • Fix job inheritance after adding or removing roles from training configuration
  • Fix delimiter error in uploaded/downloaded data
  • Fix anonymous feature name renewal

Release v1.9.0

31 Aug 06:19
3afbc3e
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Major Features and Improvements

  • Support high availability and load balancing to improve system availability and stability
  • Added support for site authentication and data set authority authentication, and supports hook mode for users to customize authentication schemes
  • Component registration optimization, support participants to use different versions of algorithm components
  • Upload, reader support feature anonymity, support specifying id column
  • Scheduling optimization, asynchronous time-consuming operations, component scheduling performance improved by more than 5 times This optimization obvious benefits for multi-component tasks
  • Added component ApiReader to get feature data by id
  • Model storage optimization, support model data synchronization between local and other storage
  • The scheduler now can obtain the error information from other participant's algorithm components

Release v1.8.0

15 Apr 07:28
e138ea4
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Major Features and Improvements

  • Optimize the model migration function to reduce user operation steps;
  • Add version compatibility check in component center to support multiple parties to use different versions;
  • Add data table disable/enable function, and support batch delete disable table

Release v1.7.2

25 Feb 08:05
c51a051
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Major Features and Improvements

  • Separate the base connection address of the data storage table from the data table information, and compatible with historical versions;
  • Optimize the component output data download interface.

Release v1.7.1

12 Jan 14:05
cc95e3b
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Major Features and Improvements

  • Added the writer component, which supports exporting data to mysql and saving data as a new table;
  • Added job reuse function, which supports the reuse of successful status components of historical tasks in new jobs;
  • Optimize the time-consuming problem of submitting tasks and the time-consuming problem of stopping tasks;
  • Component registration supports automatic setting of PYTHONPYTH.

Bug Fixes

  • Fix the problem of OOM when uploading hdfs table;
  • Fix the problem of incompatibility with the old version of serving;
  • The parameter partitions of the toy test is set to 4, and a timeout prompt is added.

Release v1.7.0

23 Nov 09:25
5bd857f
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Release 1.7.0

Major Features and Improvements

  • Independent repository instead of all code in the main FATE repository
  • Component registry, which can hot load many different versions of component packages at the same time
  • Hot update of component parameters, component-specific reruns, automatic reruns
  • Model Checkpoint to support task hot start, model deployment and other
  • Data, Model and Cache can be reused between jobs
  • Reader component supports more data sources, such as MySQL, Hive
  • Realtime recording of dataset usage derivation routes
  • Multi-party permission control for datasets
  • Automatic push to reliable storage when model deployment, support Tencent Cloud COS, MySQL, Redis
  • REST API authentication

Bug Fixes