7 Integration of ONNX Runtime

Learn about ONNX Runtime that enables you to use ONNX models for machine learning tasks within your Oracle Database instance.

• About ONNX
  ONNX is an open-source format designed for machine learning models. It ensures cross-platform compatibility. This format also supports major languages and frameworks, facilitating efficient model exchange.
• Examples of Using ONNX Models
  The following examples use the Iris data set to showcase loading and inference from ONNX format machine learning models for machine learning techniques such as Classification, Regression, and Clustering in your Oracle Database instance.
• Traditional Machine Learning ONNX Format Models
  Traditional machine learning models using algorithms such as decision trees, random forests, and support vector machines, among others, can be converted to ONNX format. Such models may be produced in other environments and deployed through Oracle Database.
• Text Transformer ONNX Format Models
  Text transformers have the ability to translate natural language text into a numerical vector representation also known as an embedding, you use such vectors for semantic similarity search or other Natural Language Processing (NLP) use cases.
• Image Transformer ONNX Format Models
  Image transformer is a part of machine learning that helps computers interpret and analyze images and videos. It provides tools to perform tasks like creating image embeddings (using an image transformer), classifying objects, detecting anomalies, and identifying objects in pictures or videos.