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manifest.json
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{
"title": "HOT SAX",
"description": "Implementation of https://doi.org/10.1109/ICDM.2005.79.",
"inputDimensionality": "univariate",
"version": "0.3.0",
"authors": "Eamonn Keogh, Jessica Lin, Ada Fu",
"language": "Python",
"type": "Detector",
"mainFile": "algorithm.py",
"learningType": "unsupervised",
"executionStep": {
"parameters": [
{
"name": "num_discords",
"type": "int",
"defaultValue": null,
"optional": "false",
"description": "The number of anomalies (discords) to search for in the time series. If not set, the scores for all discords are searched."
},
{
"name": "anomaly_window_size",
"type": "int",
"defaultValue": 100,
"optional": "false",
"description": "Size of the sliding window. Equal to the discord length!"
},
{
"name": "paa_transform_size",
"type": "int",
"defaultValue": 3,
"optional": "true",
"description": "Size of the embedding space used by PAA (paper calls it number of frames or SAX word size `w`) (performance parameter)"
},
{
"name": "alphabet_size",
"type": "int",
"defaultValue": 3,
"optional": "true",
"description": "Number of symbols used for discretization by SAX (paper uses `\\alpha`) (performance parameter)"
},
{
"name": "normalization_threshold",
"type": "float",
"defaultValue": 0.01,
"optional": "true",
"description": "Threshold for Z-normalization of subsequences (windows). If variance of a window is higher than this threshold, it is normalized."
},
{
"name": "random_state",
"type": "int",
"defaultValue": 42,
"optional": "true",
"description": "Seed for the random number generator"
}
],
"modelInput": "none"
}
}