During the development of the application, https://openexchange.intersystems.com/package/DNA-similarity-and-classify we missed specifying how Integrated ML would work with the input data, converting it to a specific vectorization of Python sklearn.
We also missed specifying which machine learning algorithm the iris database would use.
Perhaps due to lack of knowledge in the tool, but these limitations made us choose to code a conventional machine learning model programmatically.
Thank you for submitting the idea. The status has been changed to "Planned or In Progress".
This is not a commitment; plans are subject to change. Stay tuned!
Depending on which AutoML engine you're working with, there are parameters to control which model is being used. I'm not sure about the level of control offered for feature engineering, but an upcoming "pluggable models" capability will offer a lot more opportunity to customize which ML techniques are used for building your model.