Auto ML Predictor

Makes predictions using trained ML models.

The Auto ML Predictor node uses a trained model to generate predictions for new data.

The Auto ML Predictor node takes a Model ID (from the Trainer node) and new input data, then queries the ML model to get a prediction. It supports various types of predictions depending on the model (classification, regression, etc.).

Inputs

Actions

Signal	Description
Predict	Triggers the prediction

Model

Data	Description
Model ID	The ID of the trained model to use

Data

Data	Description
Input Data	Object containing feature values for prediction (e.g., {age: 25, usage: 100})

Configuration

Data	Description
ML Server URL	URL of the ML backend server (default: http://localhost:3001)

Outputs

Events

Signal	Description
Predicted	Triggered when prediction is received

Results

Data	Description
Prediction	The predicted value or class
Confidence	Confidence score of the prediction (0-1)
Model Used	Name/ID of the model used
Error	Error message if prediction fails

Usage

Use this node in your live application to make real-time predictions.

1. Provide the Model ID (can be stored or passed from Trainer).
2. Pass the current user/context data to Input Data.
3. Trigger Predict.
4. Use the Prediction output to customize the user experience or make decisions.