manifest.json

{
    "title": "RobustPCA",
    "description": "Implementation of https://arxiv.org/pdf/1801.01571.pdf",
    "inputDimensionality": "multivariate",
    "version": "0.3.0",
    "authors": "Randy Paffenroth, Kathleen Kay, Les Servi",
    "language": "Python",
    "type": "Detector",
    "mainFile": "algorithm.py",
    "learningType": "semi-supervised",
    "trainingStep": {
        "parameters": [
            {
                "name": "max_iter",
                "type": "int",
                "defaultValue": 1000,
                "optional": "true",
                "description": "Defines the number of maximum robust PCA iterations for solving matrix decomposition."
            },
            {
                "name": "random_state",
                "type": "int",
                "defaultValue": 42,
                "optional": "true",
                "description": "Seed for random number generation."
            }
        ],
        "modelInput": "none"
    },
    "executionStep": {
        "parameters": [
            {
                "name": "random_state",
                "type": "int",
                "defaultValue": 42,
                "optional": "true",
                "description": "Seed for random number generation."
            }
        ],
        "modelInput": "required"
    }
}