Automatically trains ML models based on your data.
The Auto ML Trainer node handles the model training process.
The Auto ML Trainer node automates the training of machine learning models. It takes a data source and configuration, sends a training request to the ML server, and monitors the training progress.
Actions
| Signal | Description |
|---|
| Train | Triggers the training process |
Data
| Data | Description |
|---|
| Data Source | Table name or data source identifier |
Configuration
| Data | Description |
|---|
| Target Column | The column you want to predict |
| Problem Type | 'classification', 'regression', 'time_series', or 'auto' (default: 'auto') |
| Model Name | Optional custom name for the model |
| ML Server URL | URL of the ML backend server (default: http://localhost:3001) |
Outputs
Events
| Signal | Description |
|---|
| Trained | Triggered when training is successfully completed |
Results
| Data | Description |
|---|
| Model ID | The unique identifier of the trained model |
| Status | Current status (training, completed, error) |
| Accuracy | The accuracy score of the trained model |
| Error | Error message if training fails |
Usage
Use this node after analyzing your data or when you know what you want to predict.
- Set the Data Source to your dataset.
- Specify the Target Column (what to predict).
- Trigger Train.
- The node will emit Trained when the model is ready.
- Use the Model ID output with the Auto ML Predictor node.