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By using the clojure standard library for computing the anomaly detection model, many features will lead to a long training time. (1000 feature vectors with 1000 features each took 1.377s on an i5-4300U CPU @ 1.90GHz took)
I never had a closer look for areas of optimization but I'm sure there is much potential left since my implementation never had performance in mind.
The text was updated successfully, but these errors were encountered:
By using the clojure standard library for computing the anomaly detection model, many features will lead to a long training time. (1000 feature vectors with 1000 features each took 1.377s on an i5-4300U CPU @ 1.90GHz took)
I never had a closer look for areas of optimization but I'm sure there is much potential left since my implementation never had performance in mind.
The text was updated successfully, but these errors were encountered: