Model Converter & Exported Model Prediction

Model Converter

he Model Converter facilitates the transition of machine learning models from development to deployment. It ingests models built via scikit-learn, XGBoost, or LightGBM and processes them through a standardized conversion pipeline.

Output artifacts are delivered in ONNX or PKL formats to support diverse runtime environments.

Exported Model Prediction API

The Prediction API provides a scalable interface for executing inference on exported models.

Users can submit a serialized model ONNX or PKL model and the corresponding raw input data.

The service handles the computational execution and returns the model's output in a structured response.