clearml-docs/docs/release_notes/sdk/open_source/ver_0_10.md

title
Version 0.10

:::important Trains is now ClearML. :::

Trains 0.10.7

Features and Bug Fixes

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

Trains 0.10.6

Features and Bug Fixes

• Fix broken (v0.10.5) Keras Binding support.

Trains 0.10.5

Features and Bug Fixes

• Add GPU monitoring support (add gpustat package to extras_require).

• Install with GPU monitoring support:

  pip install trains[gpu]
  

• Move all cloud storage package requirements to extras_require. Install with specific cloud provider support:

  • Microsoft Azure support:

    pip install trains[azure]
    

  • Google Storage support:

    pip install trains[gs]
    

  • Amazon S3 support:

    pip install trains[s3]
    

  • Combine Cloud support with GPU monitoring. For example, install S3 and GPU using the following command:

    pip install trains[s3,gpu]
    

• Improve stability with intermittent network connection.

• Support upgrading trains-server while running training jobs without losing log data.

Trains 0.10.4

Features and Bug Fixes

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

Trains 0.10.3

Features and Bug Fixes

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

Trains 0.10.2

Features and Bug Fixes

• Add Matplotlib SVG support.
• Add Seaborn support.
• Add TRAINS_LOG_ENVIRONMENT environment logging (GitHub trains Issue 17).
• Add Microsoft Azure notebook support.
• Add Google Colab support.
• Fix TensorBoard RGB channel order.

Trains 0.10.1

Features and Bug Fixes

• Fix Jenkins CI/CD support.

Trains 0.10.0

• Experiment code execution detection
• Automatically create package requirements section (including used versions).
• Automatically detect and store source code uncommitted changes.
• Improve Jupyter Notebook support
  • Automatically convert notebook to Python script (stored under uncommitted changes).
  • Automatically update used packages in Jupyter Notebook (including used versions).
• Add resource monitoring to experiment metrics
• Sample every 500ms, averaged over 30 seconds.
• CPU, network, I/O, memory, and other resources.
• 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)
• Improve 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 hyperparameters to the designated tab.
• "Admin" section now named "Profile".