12.2 ML Model Data Entity Properties
The Properties tab of the Add Data Entity wizard provides data mining options that you can use to define the ML Model data entity.
This topic assumes prior knowledge of Oracle Machine Learning concepts such as data mining functions and algorithms. For more information, see Oracle Machine Learning for SQL API Guide.
Type of Learning | Function | Algorithm |
---|---|---|
Supervised | Classification | Decision Tree |
Explicit Semantic Analysis | ||
Generalized Linear Models | ||
Naive Bayes | ||
Random Forest | ||
Neural Network | ||
Support Vector Machines | ||
Regression | Generalized Linear Models | |
Neural Network | ||
Support Vector Machines | ||
Time Series | Exponential Smoothing | |
Attribute Importance | Minimum Description Length | |
Unsupervised | Association | Apriori |
Attribute Importance | CUR matrix decomposition | |
Anomaly Detection | One Class Support Vector Machines | |
Clustering | Expectation Maximization | |
k-Means | ||
Orthogonal Partitioning Clustering | ||
Feature Extraction | Explicit Semantic Analysis | |
Non-Negative Matrix Factorization | ||
Singular Value Decomposition |
Parent topic: Machine Learning (ML) Models