manifest.json

{
    "title": "TSBitmap",
    "description": "Implementation of https://dl.acm.org/doi/abs/10.5555/1116877.1116907",
    "inputDimensionality": "univariate",
    "version": "0.3.0",
    "authors": "Li Wei, Nitin Kumar, Venkata Lolla, Eamonn Keogh, Stefano Lonardi, Chotirat Ann Ratanamahatana",
    "language": "Python",
    "type": "Detector",
    "mainFile": "algorithm.py",
    "learningType": "unsupervised",
    "executionStep": {
        "parameters": [
            {
                "name": "feature_window_size",
                "type": "int",
                "defaultValue": 100,
                "optional": "false",
                "description": "Size of the tumbling windows used for SAX discretization."
            },
            {
                "name": "lead_window_size",
                "type": "int",
                "defaultValue": 200,
                "optional": "false",
                "description": "How far to look ahead to create lead bitmap."
            },
            {
                "name": "lag_window_size",
                "type": "int",
                "defaultValue": 300,
                "optional": "false",
                "description": "How far to look back to create the lag bitmap."
            },
            {
                "name": "alphabet_size",
                "type": "int",
                "defaultValue": 5,
                "optional": "false",
                "description": "Number of bins for SAX discretization."
            },
            {
                "name": "level_size",
                "type": "int",
                "defaultValue": 3,
                "optional": "false",
                "description": "Desired level of recursion of the bitmap."
            },
            {
                "name": "compression_ratio",
                "type": "int",
                "defaultValue": 2,
                "optional": "true",
                "description": "How much to compress the timeseries in the PAA step. If `compression_ration == 1`, no compression."
            },
            {
                "name": "random_state",
                "type": "int",
                "defaultValue": 42,
                "optional": "true",
                "description": "Seed for random number generation."
            }
        ],
        "modelInput": "none"
    }
}