1 About Oracle Machine Learning for Python

The following topics describe Oracle Machine Learning for Python (OML4Py) and its advantages for the Python user.

Topics:

• What Is Oracle Machine Learning for Python?
  Oracle Machine Learning for Python (OML4Py) enables you to run Python commands for data transformations and for statistical, machine learning, and graphical analysis on data stored in or accessible through an Oracle database using a Python API. The OML4Py supports running user-defined Python functions through the database spawned and controlled Python engines, with optional built-in data-parallelism and task-parallelism. This embedded execution functionality enables invoking user-defined functions from SQL, and on ADB, REST. The OML4Py supports Automated Machine Learning (AutoML) for algorithm and feature selection, and model tuning and selection. You can augment the Python included functionality with third-party packages from the Python ecosystem.
• Advantages of Oracle Machine Learning for Python
  Using OML4Py to prepare and analyze data in or accessible to an Oracle database has many advantages for a Python user.
• Transparently Convert Python to SQL
  With the transparency layer classes, you can convert select Python objects to Oracle database objects and also invoke a range of familiar Python functions that are overloaded to invoke the corresponding SQL on tables in the database.
• About the Python Components and Libraries in OML4Py
  OML4Py requires an installation of Python, a number of Python libraries, as well as the OML4Py components.