Auto ML Analyzer
Automatically analyzes your data and suggests ML models.
The Auto ML Analyzer node analyzes data and suggests ML approaches.
The Auto ML Analyzer node takes your dataset and context, then uses AI to analyze the data structure, identify potential target columns, and suggest the best machine learning problem type (classification, regression, etc.).
Actions
| Signal | Description |
|---|
| Analyze | Triggers the analysis process |
Data
| Data | Description |
|---|
| Data | Array of data objects to analyze |
Configuration
| Data | Description |
|---|
| Context | Description of what you want to predict (e.g., "customer churn") |
| ML Server URL | URL of the ML backend server (default: http://localhost:3001) |
Outputs
Events
| Signal | Description |
|---|
| Analyzed | Triggered when analysis is complete |
Results
| Data | Description |
|---|
| Insights | Detailed analysis results object |
| Problem Type | Suggested ML problem type (e.g., "classification") |
| Target Column | Suggested target column for prediction |
| Error | Error message if analysis fails |
Usage
Use this node as the first step in an automated ML pipeline. It helps you understand your data and prepares it for training.
- Connect your data source (e.g., from a database or CSV) to the Data input.
- Provide a Context string to guide the AI.
- Trigger the Analyze signal.
- Use the Insights and Problem Type outputs to configure the Auto ML Trainer node.