manifest.json

{
  "title": "Bagel",
  "description": "Implementation of https://doi.org/10.1109/PCCC.2018.8710885",
  "inputDimensionality": "univariate",
  "version": "0.3.0",
  "authors": "Zeyan Li, Wenxiao Chen, Dan Pei",
  "language": "Python",
  "type": "Detector",
  "mainFile": "algorithm.py",
  "learningType": "semi-supervised",
  "trainingStep": {
    "parameters": [
      {
        "name": "window_size",
        "type": "int",
        "defaultValue": 120,
        "optional": "true",
        "description": "Size of sliding windows"
      },
      {
        "name": "latent_size",
        "type": "int",
        "defaultValue": 8,
        "optional": "true",
        "description": "Dimensionality of encoding"
      },
      {
        "name": "hidden_layer_shape",
        "type": "List[int]",
        "defaultValue": [
          100,
          100
        ],
        "optional": "true",
        "description": "NN hidden layers structure"
      },
      {
        "name": "dropout",
        "type": "float",
        "defaultValue": 0.1,
        "optional":"true",
        "description": "Rate of conditional dropout used"
      },
      {
        "name": "cuda",
        "type": "boolean",
        "defaultValue": false,
        "optional": "true",
        "description": "Use GPU for training"
      },
      {
        "name": "epochs",
        "type": "int",
        "defaultValue": 50,
        "optional": "true",
        "description": "Number of passes over the entire dataset"
      },
      {
        "name": "batch_size",
        "type": "int",
        "description": "Batch size for input data",
        "defaultValue": 128,
        "optional": "true"
      },
      {
        "name": "split",
        "type": "float",
        "defaultValue": 0.8,
        "optional": "true",
        "description": "Fraction to split training data by for validation"
      },
      {
        "name": "early_stopping_delta",
        "type": "float",
        "defaultValue": 0.5,
        "optional": "true",
        "description": "If loss is `delta` or less smaller for `patience` epochs, stop"
      },
      {
        "name": "early_stopping_patience",
        "type": "int",
        "defaultValue": 10,
        "optional": "true",
        "description": "If loss is `delta` or less smaller for `patience` epochs, stop"
      },
      {
        "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"
  }
}