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diff --git a/examples/README.md b/examples/README.md index 9a1d368e0..71b7b8204 100644 --- a/examples/README.md +++ b/examples/README.md @@ -43,6 +43,9 @@ This way you should get 9 different classification classes. You may notice that some classes e.g. TLS protocol classifications may have a higher false-negative rate. Unfortunately, I can not provide any datasets due to some privacy concerns. +But you can use a [pre-trained model](https://drive.google.com/file/d/1KEwbP-Gx7KJr54wNoa63I56VI4USCAPL/view?usp=sharing) with `--load-model` using python-joblib. +Please send me your CSV files to improve the model. I will treat those files confidential. +They'll only be used for the training process and purged afterwards. ## py-flow-dashboard |