Main new developments
Renaming datasets or models without rerunning steps
- In a notebook, it was previously not possible to rename datasets or models produced by completed steps without rerunning those steps. This was a particular issue for long-running tasks such as deep learning models.
- Now, when editing a completed step, changing the text field of the name of the generated dataset/model will invite you to update the name of the dataset/model. This will only work if this text field is the only manipulator option which is edited.
- You have the option to update the dataset/model name for the entire notebook, which means steps further down the notebook which are dependent on the edited step will point to the new dataset/model name to maintain this dependency.
Other improvements
- Extended the abilities of the HDF importer to load file object attributes into a new table of data.
- Fix - Explain Predictions was failing for certain model types.
- Other bug fixes
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