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Section Menu:
Documentation Home
HeatWave User Guide
Overview
Get Started
Quickstarts
Load and Manage Data
Accelerate Query Processing
Train and Use Machine Learning Models
About MySQL HeatWave AutoML
MySQL HeatWave AutoML Ease of Use
MySQL HeatWave AutoML Workflow
MySQL HeatWave AutoML Learning Types
Oracle AutoML
Additional MySQL HeatWave AutoML Requirements
MySQL HeatWave AutoML Privileges
Supported Data Types for MySQL HeatWave AutoML
Create a Machine Learning Model
Prepare Data
Overview of Preparing Data
Prepare Training and Testing Datasets
Train a Model
Load a Model
Generate Predictions
Generate Predictions for a Row of Data
Generate Predictions for a Table
Generate Model Explanations
Generate Prediction Explanations
Generate Prediction Explanations for a Row of Data
Generate Prediction Explanations for a Table
Score a Model
Learn About MySQL HeatWave AutoML with Oracle Cloud Infrastructure Generative AI
Machine Learning Use Cases
Classify Data
Prepare Data for a Classification Model
Train a Classification Model
Generate Predictions for a Classification Model
Query Model Explanation and Generate Prediction Explanations for a Classification Model
Score a Classification Model
Perform Regression Analysis
Prepare Data for a Regression Model
Train a Model for Regression
Generate Predictions for a Regression Model
Query Model Explanation and Generate Prediction Explanations for a Regression Model
Score a Regression Model
Generate Forecasts
Forecasting Task Types
Prediction Intervals
Prepare Data for a Forecasting Model
Train a Forecasting Model
Generate Predictions for a Forecasting Model
Score a Forecasting Model
Detect Anomalies
Anomaly Detection Model Types
Anomaly Detection Learning Types
Anomaly Detection for Logs
Prepare Data for an Anomaly Detection Model
Train an Anomaly Detection Model
Generate Predictions for an Anomaly Detection Model
Score an Anomaly Detection Model
Generate Recommendations
Recommendation Task Types
Prepare Data for a Recommendation Model
Train a Recommendation Model
Generate Predictions for a Recommendation Model
Generate Predictions for Ratings and Rankings
Generate Item Recommendations for Users
Generate User Recommendations for Items
Generate Recommendations for Similar Items
Generate Recommendations for Similar Users
Score a Recommendation Model
Topic Modeling
Prepare Data for Topic Modeling
Train a Model with Topic Modeling
Run Topic Modeling on Trained Text
Use MySQL HeatWave AutoML with Lakehouse
Manage Machine Learning Models
The Model Catalog
The Model Catalog Table
Model Metadata
Work with Model Handles
Unload a Model
View Model Details
Delete a Model
Share a Model
Manage External ONNX Models
ONNX Models Overview
ONNX Model Metadata
Import an External ONNX Model
Analyze Data Drift
Track Progress for MySQL HeatWave AutoML Routines
Monitor the Status of MySQL HeatWave AutoML
Perform AI-Powered Search and Content Generation
Performance and Usage
System and Status Variables
Routines
Troubleshoot
Related Documentation
HeatWave Release Notes
Download this Manual
PDF (US Ltr)
- 3.8Mb
PDF (A4)
- 3.8Mb
HeatWave User Guide
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Train and Use Machine Learning Models
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Create a Machine Learning Model
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Prepare Data
6.5.1 Prepare Data
6.5.1.1 Overview of Preparing Data
6.5.1.2 Prepare Training and Testing Datasets
Review the following topics to learn more about preparing data for machine learning models.
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Related Documentation
HeatWave Release Notes
Download this Manual
PDF (US Ltr)
- 3.8Mb
PDF (A4)
- 3.8Mb