Oracle Machine Learning Services

The REST API for Oracle Machine Learning Services provides REST API endpoints hosted on Oracle Autonomous Database. These endpoints allow you to store Machine Learning models along with its metadata, and create scoring endpoints for the model.

Get Started

Work with Data Bias Detection

Data Bias Detection helps you detect different types of biases in your data in the early stage of the machine learning lifecycle.

Data Bias Detection Output Table Schema
Data Bias Detection - Example

Work with Data Monitoring

Data monitoring enables comparing and tracking data changes over time.

Data Monitoring Output Table Schema
Data Monitoring Example - Data Drift Detection

Work with Model Monitoring

Model monitoring allows you to monitor the quality of model predictions over time, and helps you with insights on the underlying causes.

Model Monitoring Output Table Schema
Model Monitoring Example

Work with Batch Scoring

Run batch scoring jobs against Oracle Machine Learning models and ONNX format models on Oracle Autonomous Database by using a consistent set of asynchronous REST APIs.

Batch Scoring using a Classification Model
Batch Scoring using a Clustering Model
Batch Scoring using a Regression Model
Batch Scoring using a Feature Extraction Model
Batch Scoring and Output Schema Tables

OML Services Use Cases

Deploy Oracle Machine Learning Models
Deploy ONNX Format Models
Work with Cognitive Text Functionality
Work with Cognitive Image Functionality

Learn About OML Services

What is OML Services
Access OML Services REST API
Authenticate OML Services Users
Send Requests
Deploy Models