The following updates have been made in OML4Py User’s Guide Release 2.0.1 in 26ai.

Additional Changes:

• AutoML Pipeline: It automates the three major stages of the machine learning pipeline:
  • algorithm selection
  • adaptive data reduction (feature and sample size selection)
  • hyperparameter optimization
  To learn more, seeAutoML Pipeline.
• OML4Py Metrics: It provides metrics to evaluate the performance of machine learning models. To learn more, see OML4Py Metrics.
• The OML4Py client has been updated to the latest version, 2.0.1. To learn more, see Install OML4Py Client for On-Premises Oracle AI Database.
• The option to load custom models from the local filesystem is now available. To learn more, see Load Custom Models from The Local Filesystem.