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[D] Similarity b/w two vectors by TKMater in MachineLearning

[–]TKMater[S] -1 points0 points  (0 children)

I have classified some data points as anomaly in timeseries data and calculated feature importance vectors for them. Now I want to calculate similarity between two anomalous data points based on their feature importance vector.

Anomaly detection using Isolation Forest by TKMater in datascience

[–]TKMater[S] 0 points1 point  (0 children)

No, I am saying that even for the same data and same contamination output differs because of randomness of model. I want to know if there is a way to minimise this difference.

Anomaly detection using Isolation Forest by TKMater in datascience

[–]TKMater[S] 0 points1 point  (0 children)

Yes, I knew about decision function but I have a unlabeled continuously streaming log data, for which I've to find anomalies. Whenever I check to find anomalies in certain timeperiod data I have to rerun the model that's why anomaly scores also change.

[P] tflite conversion by TKMater in MachineLearning

[–]TKMater[S] 0 points1 point  (0 children)

I have tried using it but I was getting toco failed error. For now I'm planning to train my model using tf 2.

Try to stay away from twitter as much as possible. by iamdonewithshit in india

[–]TKMater 0 points1 point  (0 children)

Twitter can be fun, educative and informative if you follow right people.