Learning from real world data (ECG Heartbeat Categorization) as anomaly detection using HTM

If you want to optimise hyperparameters for your task/dataset, I wrote a script to do it here using hyperopt/hyperas: https://github.com/JonnoFTW/htm-models-adelaide/blob/master/engine/vs_model/optimize_htm.py

The script should be simple to modify for your use case. You can even do it in a distributed fashion if you have access to many different machines.

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