TRAINS - AI的自动神奇实验管理器和版本控制

Features and Bug Fixes

• Artifacts support
• Removed apache-libcloud from requirements
• trains-init now verifies credentials against the trains-server installation

Features and Bug Fixes

• Fix broken (v0.10.5) Keras Binding support

Features and Bug Fixes

• Replace opencv-python with the more standard Pillow package
• Improve matplotlib support (custom axis ticks)
• Improve python package detection

Features and Bug Fixes

• Add scikit-learn support (load/store using joblib) #20
• Add xgboost support #10
• Add loguru support #29
• Add sub-domain support trains.conf #27
• Fix sub-process support
• Fix multiple Tensorboard writers #26

Features and Bug Fixes

• Add Matplotlib SVG support
• Add Seaborn support
• Add TRAINS_LOG_ENVIRONMENT environment logging feature
• Add Microsoft Azure notebook support
• Add Google Colab support
• Fix Tensorboard RGB channel order

Features and Bug Fixes

• Fix Jenkins CI/CD support

• Experiment code execution detection

  • Automatically create package requirements section (including used versions)
  • Automatically detect and store source code uncommitted changes
  • Jupyter notebook support, automatically convert notebook to python script (stored under uncommitted changes)
  • Jupyter notebook support, automatically update used packages in notebook (including used versions)

• Add resource monitoring to experiment metrics

  • Sampled every 500ms, averaged over 30 seconds
  • CPU / Network / IO / Memory etc.
  • For GPU support please install gpustat
    (currently not part of the requirements due to gpustat compatibility issues with Windows)
    $ pip install gpustat

• Automatically stop inactive experiments (default: 2 hours)

• Improved visibility

  • Finer status definitions: Identify successful completion vs. user aborted
  • Experiment plot comparison: Ensure different colors for different experiments
  • Parse newline character in experiment description
  • Show experiment start time in table display
  • Add vertical guide in scalar plots
  • Move Hyper-parameters to designated tab
  • "Admin" section now named "Profile"

Features and Bug Fixes

• Improved Jupyter and inline Matplotlib support
• Allow for insecure SSL connection to trains-server (use with care!)
• Automatically announce new trains version available (at least until we hit version 1.0)
• Fix support for local git branches (i.e. no matching remote branch)
• Verified support for Official TensorFlow 1.14 release and PyTorch with TensorBoard