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| author | Toni Uhlig <matzeton@googlemail.com> | 2023-07-03 22:03:53 +0200 |
|---|---|---|
| committer | Toni Uhlig <matzeton@googlemail.com> | 2023-07-16 22:06:36 +0200 |
| commit | 92b3c7644640cb38b101f93100ebc04f04ee6ef9 (patch) | |
| tree | fdcf46c8887be1164c4ede08fb6ee99e19012263 /examples/README.md | |
| parent | 967381a5990c7b637dffddf80d90104315a6b123 (diff) | |
Added Keras based Autoencode (Work-in-Progress!)
* minor fixes
Signed-off-by: Toni Uhlig <matzeton@googlemail.com>
Diffstat (limited to 'examples/README.md')
| -rw-r--r-- | examples/README.md | 5 |
1 files changed, 5 insertions, 0 deletions
diff --git a/examples/README.md b/examples/README.md index 2b1d43427..03d7a9262 100644 --- a/examples/README.md +++ b/examples/README.md @@ -41,6 +41,11 @@ Required by `tests/run_tests.sh` ## py-machine-learning +Contains: + +1. Classification via Random Forests and SciLearn +2. Anomaly Detection via Autoencoder and Keras (Work-In-Progress!) + Use sklearn together with CSVs created with **c-analysed** to train and predict DPI detections. Try it with: `./examples/py-machine-learning/sklearn_random_forest.py --csv ./ndpi-analysed.csv --proto-class tls.youtube --proto-class tls.github --proto-class tls.spotify --proto-class tls.facebook --proto-class tls.instagram --proto-class tls.doh_dot --proto-class quic --proto-class icmp` |