WMX analytics shows peculiar patterns in data gathered from WMX masters.

Using the data (especially the DC diff), a new model is trained to detect anomalies from the analytic data of other systems.

Note that the Python environment where this notebook runs should already have PyTorch packages.

pip install scipy
pip install pandas
pip install seaborn
pip install -U scikit-learn
pip install -q -U watermark
pip install datasets
pip install huggingface-hub
pip install ipywidgets

Normal DC diff data for deep learning training can be loaded from the following the hugging face link.

https://huggingface.co/datasets/Jake5/wmx_normal_data

Anomaly DC diff data can be found as well from below link.

https://huggingface.co/datasets/Jake5/wmx_abnormal_data