![](https://myf5.net/upload/2024/12/2-class-logistic-regression-ml-train-707x1024.jpg)
normalization data:
![](https://myf5.net/upload/2024/12/normalization-data-743x1024.jpg)
untrained model:
![](https://myf5.net/upload/2024/12/untrained-model-1024x782.jpg)
trained model:
![](https://myf5.net/upload/2024/12/trained-2class-model-1024x446.jpg)
scored value output:
![](https://myf5.net/upload/2024/12/scored-value-1024x740.jpg)
evaluate model:
![](https://myf5.net/upload/2024/12/evaluated-model-2class-1024x594.jpg)
create realtime inference:
![](https://myf5.net/upload/2024/12/2class-infrence-realtime-1024x610.jpg)
inference deployment to instance:
![](https://myf5.net/upload/2024/12/infrence-deployment-1024x830.jpg)
final svc endpoint:
![](https://myf5.net/upload/2024/12/inference-svc-endpoint-access-1024x978.jpg)
the final model that used in the inference service:
![](https://myf5.net/upload/2024/12/model-for-inference-1024x785.jpg)
![](https://myf5.net/upload/2024/12/inference-model-file-list.jpg)
本作品采用 知识共享署名-非商业性使用 4.0 国际许可协议 进行许可
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