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Version 0.12 |
:::important Trains is now ClearML. :::
Trains 0.12.2
Features and Bug Fixes
- Add
default_output_uri
feature (GitHub Issue #57). - Improve
trains-init
configuration wizard. - Improve argparser binding.
- Fix artifact support in data pipeline (GitHub Issue #63).
- Fix threading issue while querying multiple experiments (GitHub Issue #64).
- Fix uploading large files over slow HTTP connections.
- Fix support for Git versions < 2.
:::info Breaking Changes Do not reuse an experiment with artifacts. :::
Trains 0.12.1
Features and Bug Fixes
- Add
Task.connect_configuration
, connect configuration file (or configuration dictionary including nesting support). - Add
Task.connect_label_enumeration
, store model detection classes together with the model and experiment. - Edit and override configuration file (or dictionary) content when executing with trains-agent.
Task.connect
automatically supports nested dictionaries (e.g. param / nested / key), including overriding values when running with trains-agent.- Add
Artifact.get
, download and load an artifact. - Add
Task.get_tasks
, retrieve previous experiments, get metrics, rename, and other uses. - Improve Windows support.
- Improve Minio support.
- Fix Python2 support.
- Fix Issue (GitHub Issue #56).
Trains 0.12.0
Features and Bug Fixes
- TRAINS Agent support (Full DevOps support).
- Add automation and orchestration (examples/automation). Supports TRAINS-server v0.12 or above.
- Add Logger x/y/z axis title for: report_surface / report_confusion_matrix / report_scatter3d / report_scatter2d / report_histogram.
- Add support for TensorFlow 2.0.
- Embed pyhocon into package.
- Fix artifacts support on Windows.
- Fix example code Windows support.