manifest.json

{
    "title": "Extended Isolation Forest (EIF)",
    "description": "Extenstion to the basic isolation forest. Implementation of https://doi.org/10.1109/TKDE.2019.2947676. Code from https://github.com/sahandha/eif",
    "inputDimensionality": "multivariate",
    "version": "0.3.0",
    "authors": "S. Hariri, M. Carrasco Kind, R. J. Brunner",
    "type": "Detector",
    "language": "Python",
    "mainFile": "algorithm.py",
    "learningType": "unsupervised",
    "executionStep": {
        "parameters": [
            {
                "name": "n_trees",
                "type": "int",
                "defaultValue": 200,
                "optional": "false",
                "description": "The number of decision trees (base estimators) in the forest (ensemble)."
            },
            {
                "name": "max_samples",
                "type": "float",
                "defaultValue": null,
                "optional": "false",
                "description": "The number of samples to draw from X to train each base estimator: `max_samples * X.shape[0]`. If unspecified (`null`), then `max_samples=min(256, X.shape[0])`."
            },
            {
                "name": "extension_level",
                "type": "int",
                "defaultValue": null,
                "optional": "true",
                "description": "Extension level 0 resembles standard isolation forest. If unspecified (`null`), then `extension_level=X.shape[1] - 1`."
            },
            {
                "name": "limit",
                "type": "int",
                "defaultValue": null,
                "optional": "true",
                "description": "The maximum allowed tree depth. This is by default set to average length of unsucessful search in a binary tree."
            },
            {
                "name": "random_state",
                "type": "int",
                "defaultValue": 42,
                "optional": "true",
                "description": "Seed for random number generation."
            }
        ],
        "modelInput": "optional"
    }
}