manifest.json

{
    "title": "Series2Graph++",
    "description": "Implementation of [unpublished]",
    "inputDimensionality": "multivariate",
    "version": "1.0.2",
    "authors": "Phillip Wenig, Thorsten Papenbrock",
    "language": "Rust",
    "type": "Detector",
    "mainFile": "scripts/start_timeeval.sh",
    "learningType": "unsupervised",
    "executionStep": {
    	"parameters": [
            {
                "name": "pattern-length",
                "type": "Int",
                "defaultValue": 50,
                "optional": "true",
                "description": "Size of the sliding window, independent of anomaly length, but should in the best case be larger."
            },
            {
                "name": "latent",
                "type": "Int",
                "defaultValue": 16,
                "optional": "true",
                "description": "Size of latent embedding space. This space is the input for the PCA calculation afterwards."
            },
            {
                "name": "rate",
                "type": "Int",
                "defaultValue": 100,
                "optional": "true",
                "description": "Number of angles used to extract pattern nodes. A higher value will lead to high precision, but at the cost of increased computation time."
            },
            {
                "name": "threads",
                "type": "Int",
                "defaultValue": 1,
                "optional": "true",
                "description": "Number of helper threads started besides the main thread. (min=1)"
            },
            {
                "name": "query-length",
                "type": "Int",
                "defaultValue": 75,
                "optional": "true",
                "description": "Size of the sliding windows used to find anomalies (query subsequences). query-length must be >= pattern-length!"
            },
            {
                "name": "clustering",
                "type": "String",
                "defaultValue": "meanshift",
                "optional": "true",
                "description": "Determines which clustering algorithm to use. Possible choices are: `meanshift` or `kde`."
            }
        ],
        "modelInput": "none"
    }
}