manifest.json

{
    "title": "LaserDBN",
    "description": "Implementation of https://doi.org/10.1007/978-3-662-53806-7_3",
    "inputDimensionality": "multivariate",
    "version": "0.3.0",
    "authors": "Alberto Ogbechie, Javier Díaz-Rozo, Pedro Larrañaga, Concha Bielza",
    "language": "Python",
    "type": "Detector",
    "learningType": "Semi-Supervised",
    "mainFile": "algorithm.py",
    "trainingStep": {
      "parameters": [
        {
          "name": "timesteps",
          "type": "int",
          "defaultValue": 2,
          "optional": "true",
          "description": "Number of time steps the DBN builds probabilities for (min: 2)"
        },
        {
          "name": "n_bins",
          "type": "int",
          "defaultValue": 10,
          "optional": "true",
          "description": "Number of bins used for discretization."
        },
        {
          "name": "random_state",
          "type": "int",
          "defaultValue": 42,
          "optional": "true",
          "description": "Seed for the random number generator"
        }
      ],
      "modelInput": "none"
    },
    "executionStep": {
      "parameters": [
        {
          "name": "random_state",
          "type": "int",
          "defaultValue": 42,
          "optional": "true",
          "description": "Seed for the random number generator"
        }
      ],
      "modelInput": "required"
    }
}