Changelog

0.1.6 (2024-04-25)

New:

• Added new method TrainingData.assign_subset() that allows you to assign a Train, Validation, or Test subset to your data.

Fixes:

• The method Optimization.run() now raises an exception if no workspace is provided and none is configured.

• Fix RecursionError on authentication refresh

0.1.5 (2024-04-15)

• Training can now be launched using the most recent model configuration from a project.

• Enabled non-interactive mode capability, allowing for automation or operations without manual inputs.

• Added new validation Project.is_trainable() to verify if the project meets all minimum requirements for training.

• Added new method Project.get_variables() to get all available variables used for a model’s inputs and outputs.

• Fixed bug where a subset of training data could not be pulled. A subset of training data is now correctly retrieved.

• Fixed erroneous call to a private function during the optimization run.

0.1.4 (2024-02-26)

• Less verbose sse disconnects

• Fix client config vars being described two times

• Fix type/KeyError in workspace.model.post_processings

• Fix monitor_callback interface not respected in upload_file_with_presigned_post

• Fix README indentation

0.1.3 (2024-02-02)

Fix config args not taken into account if a config file is not found

0.1.2 (2024-01-24)

Fix training data upload_folder method

0.1.1 (2024-01-19)

Fix badges

0.1.0 (2024-01-19)

Initial release