Oracle R Enterprise Data Mining Functions
Cluster Histogram Data from Clustering Models
Partitions and Settings of an Oracle Data Mining Model Object
Class 'ore.itemsets'
In-Database Attribute Importance Ranking Models
In-Database Association Rules Models
In-Database Decision Tree Models
In-Database Expectation Maximization Models
In-Database Explicit Semantic Analysis Models
In-Database Generalized Linear Models
In-Database Hierarchical K-Means Models
In-Database Naive Bayes Models
In-Database Non-Negative Matrix Factorization Models
In-Database Orthogonal Partitioning Cluster Models
Extensible R Algorithm Models
In-Database Singular Value Decomposition Models
In-Database Support Vector Machine Models
Class 'ore.rules'
Predicate Rule Data for Clusters or Association Rules Models
Summarize In-Database Association Models
Summarize In-Database Decision Tree Models
Summarize In-Database Expectation Maximization Models
Summarize In-Database Explicit Semantic Analysis Models
Summarize In-Database Generalized Linear Models
Summarize In-Database Hierarchical K-Means Models
Summarize In-Database Naive Bayes Models
Summarize In-Database Non-Negative Matrix Factorization Models
Summarize In-Database Orthogonal Partitioning Cluster Models
Summarize In-Database Singular Value Decomposition Models
Summarize In-Database Support Vector Machine Models