manifest.json

{
  "title": "MSCRED",
  "description": "Implementation of https://doi.org/10.1609/aaai.v33i01.33011409",
  "inputDimensionality": "multivariate",
  "version": "0.3.0",
  "authors": "Chuxu Zhang, Dongjin Song, Yuncong Chen, Xinyang Feng, Cristian Lumezanu, Wei Cheng, Jingchao Ni, Bo Zong, Haifeng Chen, Nitesh V. Chawla",
  "language": "Python",
  "type": "Detector",
  "mainFile": "algorithm.py",
  "learningType": "semi-supervised",
  "trainingStep": {
    "parameters": [
      {
        "name": "windows",
        "type": "List[int]",
        "defaultValue": [
          10,
          30,
          60
        ],
        "optional": "true",
        "description": "Number and size of different signature matrices (correlation matrices) to compute as a preprocessing step"
      },
      {
        "name": "gap_time",
        "type": "int",
        "defaultValue": 10,
        "optional": "true",
        "description": "Number of points to skip over between the generation of signature matrices"
      },
      {
        "name": "window_size",
        "type": "int",
        "defaultValue": 5,
        "optional": "true",
        "description": "Size of the sliding windows"
      },
      {
        "name": "batch_size",
        "type": "int",
        "defaultValue": 32,
        "optional": "true",
        "description": "Number of instances trained at the same time"
      },
      {
        "name": "learning_rate",
        "type": "float",
        "defaultValue": 0.001,
        "optional": "true",
        "description": "Learning rate for Adam optimizer"
      },
      {
        "name": "epochs",
        "type": "int",
        "defaultValue": 1,
        "optional": "true",
        "description": "Number of training iterations over entire dataset"
      },
      {
        "name": "early_stopping_patience",
        "type": "int",
        "defaultValue": 10,
        "optional": "true",
        "description": "If 1 - (loss / last_loss) is less than `delta` for `patience` epochs, stop"
      },
      {
        "name": "early_stopping_delta",
        "type": "float",
        "defaultValue": 0.05,
        "optional": "true",
        "description": "If 1 - (loss / last_loss) is less than `delta` for `patience` epochs, stop"
      },
      {
        "name": "split",
        "type": "float",
        "defaultValue": 0.8,
        "optional": "true",
        "description": "Train-validation split for early stopping"
      },
      {
        "name": "test_batch_size",
        "type": "int",
        "defaultValue": 256,
        "optional": "true",
        "description": "Number of instances used for validation and testing at the same time"
      },
      {
        "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"
  }
}