Data Flow Steps for Training Machine Learning Models
Oracle Analytics enables you to train machine learning models using steps in data flows. When you've trained a machine learning model, apply it to your data using the Apply Model step.
| Step Name | Description |
|---|---|
| AutoML (requires Oracle Autonomous Data Warehouse) | Use Oracle Autonomous Data Warehouse's AutoML capability to recommend and train a predictive model for you. The AutoML step analzes your data, calculates the best algorithm to use, and registers a prediction model in Oracle Analytics. |
| Train Binary-Classifier |
Train a machine learning model to classify your data into one of two predefined categories. |
| Train Clustering | Train a machine learning model to segregate groups with similar traits and assign them into clusters. |
| Train Multi-Classifier | Train a machine learning model to classify your data into three or more predefined categories. |
| Train Numeric Prediction | Train a machine learning model to predict a numeric value based on known data values. |