Table of Contents
- List of Tables
- Title and Copyright Information
- Preface
- Changes in This Release for Oracle Machine Learning for SQL User's Guide
- Other Changes
- 1 Oracle Machine Learning With SQL
- 2 About the Oracle Machine Learning for SQL API
- 3 Prepare the Data
-
4
Create a Model
- 4.1 Before Creating a Model
- 4.2 Choose the Machine Learning Technique
- 4.3 Choose the Algorithm
- 4.4 Automatic Data Preparation
- 4.5 Embed Transformations in a Model
- 4.6 The CREATE_MODEL2 Procedure
- 4.7 The CREATE_MODEL Procedure
- 4.8 Specify Model Settings
- 4.9 Model Settings in the Data Dictionary
-
4.10
Model Detail Views
- 4.10.1 Model Detail Views for Association Rules
- 4.10.2 Model Detail View for Frequent Itemsets
- 4.10.3 Model Detail Views for Transactional Itemsets
- 4.10.4 Model Detail View for Transactional Rule
- 4.10.5 Model Detail Views for Classification Algorithms
- 4.10.6 Model Detail Views for CUR Matrix Decomposition
- 4.10.7 Model Detail Views for Decision Tree
- 4.10.8 Model Detail Views for Generalized Linear Model
- 4.10.9 Model Detail View for Multivariate State Estimation Technique - Sequential Probability Ratio Test
- 4.10.10 Model Detail Views for Naive Bayes
- 4.10.11 Model Detail Views for Neural Network
- 4.10.12 Model Detail Views for Random Forest
- 4.10.13 Model Detail View for Support Vector Machine
- 4.10.14 Model Detail Views for XGBoost
- 4.10.15 Model Detail Views for Clustering Algorithms
- 4.10.16 Model Detail Views for Expectation Maximization
- 4.10.17 Model Detail Views for k-Means
- 4.10.18 Model Detail Views for O-Cluster
- 4.10.19 Model Detail Views for Explicit Semantic Analysis
- 4.10.20 Model Detail Views for Non-Negative Matrix Factorization
- 4.10.21 Model Detail Views for Singular Value Decomposition
- 4.10.22 Model Detail Views for Minimum Description Length
- 4.10.23 Model Detail Views for Binning
- 4.10.24 Model Detail Views for Global Information
- 4.10.25 Model Detail Views for Normalization and Missing Value Handling
- 4.10.26 Model Detail Views for Exponential Smoothing
- 4.10.27 Model Detail Views for Text Features
- 5 Scoring and Deployment
- 6 Machine Learning Operations on Unstructured Text
-
7
Administrative Tasks for Oracle Machine Learning for SQL
- 7.1 Install and Configure a Database for Oracle Machine Learning for SQL
- 7.2 Upgrade or Downgrade Oracle Machine Learning for SQL
-
7.3
Export and Import Oracle Machine Learning for SQL Models
- 7.3.1 About Oracle Data Pump
- 7.3.2 About Exporting Models
- 7.3.3 Options for Exporting and Importing Oracle Machine Learning for SQL Models
- 7.3.4 Directory Objects for EXPORT_MODEL and IMPORT_MODEL
- 7.3.5 Use EXPORT_MODEL and IMPORT_MODEL
- 7.3.6 EXPORT and IMPORT Serialized Models
- 7.3.7 Import From PMML
- 7.4 Control Access to Oracle Machine Learning for SQL Models and Data
- 7.5 Audit and Add Comments to Oracle Machine Learning for SQL Models
- A Oracle Machine Learning for SQL Examples
- Index