Issue grant commands on the database to allow access to the tables associated with the user's Oracle Machine Learning Notebooks.

Create an OML username and password for the user in the Oracle Machine Learning Management User Interface.

Add the user's full name and email ID in the Oracle Machine Learning Management User Interface.

Provide the user with an Autonomous Data Warehouse client wallet for remote authentication.

Clustering

Anomaly Detection

Regression

Classification

When creating a notebook from an experiment-produced Model, the top algorithm in the Leader Board is automatically selected and converted to OML4Py code.

Automates key modeling steps such as algorithm selection, feature selection, and hy-perparameter tuning.

An Experiment can be run with two possible options: Faster Results or Better Accura-cy.

An Experiment returns a single machine learning model, on successful execution Pro-vides Classification Prediction Type for numeric data and Regression Prediction Type for non-numeric data.

Manager

Viewer

Developer

Guest

There is no previously known result to guide the algorithm in building the model.

It uses unlabeled data.

It analyzes cases where the target value is already known.

It can be used as a preliminary step for supervised algorithms.