manifest.json

{
    "title": "COF",
    "description": "Implementation of https://doi.org/10.1007/3-540-47887-6_53.",
    "inputDimensionality": "multivariate",
    "version": "0.3.1",
    "authors": "Jian Tang, Zhixiang Chen, Ada Wai-chee Fu, David W. Cheung",
    "language": "Python",
    "type": "Detector",
    "mainFile": "algorithm.py",
    "learningType": "unsupervised",
    "executionStep": {
        "parameters": [
            {
                "name": "n_neighbors",
                "type": "int",
                "defaultValue": 20,
                "optional": "true",
                "description": "Number of neighbors to use by default for k neighbors queries. Note that n_neighbors should be less than the number of samples. If n_neighbors is larger than the number of samples provided, all samples will be used."
            },
            {
                "name": "random_state",
                "type": "int",
                "defaultValue": 42,
                "optional": "true",
                "description": "Seed for random number generation."
            }
        ],
        "modelInput": "none"
    }
}