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Create training set from unsupervised method #36

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igabriel85 opened this issue Jun 6, 2017 · 0 comments

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enhancement Feature Medium Priority

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igabriel85 commented Jun 6, 2017

Use detected anomalies from unsupervised anomaly detection methods such as isolationforest to create training set. Workflow as follows:

detect using unsupervised method
add detected anomalies to training set
run clustering on training set and split up data into anomaly clusters and label them
train classifier
allow the user to add or remove elements from training set

igabriel85 added enhancement Feature Medium Priority labels

igabriel85 added this to the Final Release milestone

igabriel85 self-assigned this

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