Spark Plugs - Condition Detection - Visual Anomaly Detection

Every learning block has a threshold. This can be the minimum confidence that a neural network needs to have, or the maximum anomaly score before a sample is tagged as an anomaly. You can configure these thresholds to tweak the sensitivity of these learning blocks. This affects both live classification and model testing.

Visual Anomaly Detection

Minimum score before tagging as anomaly

Should be numeric

Suggested value is 52.2, based on the top anomaly scores in the training dataset.

Method to calculate anomaly score

These users will be notified over email when this job finishes.

	Name
	Daniel Situnayake Edge Impulse staff
	Mat Kelcey Edge Impulse staff
	Eoin Edge Impulse staff
	D Dan Pending invitation
	Moe Sani Edge Impulse staff

Configure your target device for model performance calculations, and to enable target specific optimizations.

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