Demand Curve Quick Start Guide
The Demand Curve Quick Start Guide demonstrates how to use Wallaroo to chart a demand curve based on submitted data. This example uses a model plus preprocess and postprocessing steps.
ONNX
Wallaroo ONNX Requirements
Wallaroo natively supports Open Neural Network Exchange (ONNX) models into the Wallaroo engine.
| Parameter | Description |
|---|---|
| Web Site | https://onnx.ai/ |
| Supported Libraries | See table below. |
| Framework | Framework.ONNX aka onnx |
| Runtime | Native aka onnx |
| Supported Versions | onnx==1.14.1 |
The following ONNX versions models are supported:
| ONNX Version | ONNX IR Version | ONNX OPset Version | ONNX ML Opset Version |
|---|---|---|---|
| onnx==1.14.1 | 8 | 17 | 3 |
- If converting another ML Model to ONNX (PyTorch, XGBoost, etc) using the onnxconverter-common library, the supported
DEFAULT_OPSET_NUMBERis 17.
Using different versions or settings outside of these specifications may result in inference issues and other unexpected behavior.
ONNX models always run in the Wallaroo Native Runtime space.
IMDB Tutorial
The IMDB Tutorial demonstrates how to use Wallaroo to determine if reviews are positive or negative.
ONNX Multiple Input Output Example
How to manage ONNX ML models with muliple inputs and outputs.