v0.1.5

• 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.

New Contributors

• @kliment-slice made their first contribution in #36

Full Changelog: v0.1.4...v0.1.5