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# sklearn example
This is a simple demo showing the training of Random Forest Classifier, serializing it as a pickle file, converting it to an Onnx model, then making inferences using the Onnx model.
## Usage
Train the model
```
python train.py
```
Convert to Onnx
```
python convert_to_onnx.py ./output/model.pkl
```
Make inferences
```
python onnx_infer.py ./output/clr_model.onnx
```
## Model
![Model Graph](./img/model_graph.png)