github allegroai/clearml v1.13.2
PyPI v1.13.2 - ClearML

latest releases: v1.16.5, v1.16.4, v1.16.3...
12 months ago

New Features

  • Support parallel dataset verification (#1131, thanks @charlienewey-odin!)
  • Support lightgbm model loading from a string (#1136, thanks @bedapisl!)
  • Add support for Hydra command-line syntax for modifying omegaconf
  • Add support for setting output_uri in pipeline decorators and functions
  • Add more visibility when overriding jsonargparse arguments
  • Use StorageManager cache when downloading models
  • Support parsing GS credentials as a JSON string if they do not point to a JSON file
  • Support ignoring default_output_uri on remote runs when Task.init(output_uri=False) was specified and the backend task data has no output_uri specified
  • Add configuration files logging example
  • Support raising LoginError when initializing
  • Add HuggingFace Transformers Example (#1146)
  • Improve docstrings for tag filters
  • Add a security policy file (#1148)

Bug Fixes

  • Fix Google Storage subdir path in bucket URL breaks validation (#1117, thanks @materight!)
  • Fix jsonschema DeprecationWarning in newer versions (#1128, thanks @xquyvu!)
  • Fix task.set_script(diff="") does not clear the uncommitted changes (#1106)
  • Fix parallel dataset verification fails on older Python versions (#1144)
  • Fix attrs.__version__ deprecation warning (#1145)
  • Fix Task.get_parameters_as_dict(cast=True) raises a YAML parser error
  • Fix potential threading issues when setting self.lock to None
  • Fix pipeline version is not displayed in the table view and version list
  • Fix displayed pipeline run time in pipeline components is not the same as that shown in the info tab in full detail
  • Fix Model.connect() in remote execution might result in the wrong model being connected
  • Fix exception raised on ConnectionError (which actually indicates that a read has timed out, and should be retried)
  • Fix missing configuration error not raised in certain cases
  • Fix loading queues containing metadata fails due to an incorrect queue metadata scheme
  • Fix pyjwt requirements for Python < 2.9
  • Fix pipeline examples

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