Chapter 4 Training and Using Machine Learning Models

Table of Contents

4.1 About AutoML

4.1.1 AutoML Ease of Use

4.1.2 AutoML Workflow

4.1.3 AutoML Learning Types

4.1.4 Oracle AutoML

4.2 Additional AutoML Requirements

4.3 AutoML Privileges

4.4 Supported Data Types for AutoML

4.5 Creating a Machine Learning Model

4.5.1 Preparing Data

4.5.2 Training a Model

4.5.3 Loading a Model

4.5.4 Generating Predictions

4.5.5 Generating Model Explanations

4.5.6 Generating Prediction Explanations

4.5.7 Scoring a Model

4.6 Machine Learning Use Cases

4.6.1 Classify Data

4.6.2 Perform Regression Analysis

4.6.3 Generating Forecasts

4.6.4 Detect Anomalies

4.6.5 Generating Recommendations

4.6.6 Generating Topic Modeling

4.7 Manage Machine Learning Models

4.7.1 The Model Catalog

4.7.2 Work with Model Handles

4.7.3 Unload a Model

4.7.4 View Model Details

4.7.5 Delete a Model

4.7.6 Share a Model

4.7.7 Manage External ONNX Models

4.7.8 Analyzing Data Drift

4.8 Monitoring the Status of AutoML

4.9 AutoML Limitations

This chapter describes how to create and manage machine learning models with the AutoML feature of MySQL AI.