algorithm_params.json

{
	"kmeans": {
		"training": false,
		"optimize": {
			"n_clusters": [5, 100],
			"window_size": [5, 100]
		},
		"const": {
		},
		"default": {
			"n_clusters": 50,
			"window_size": 10
		}
	},
	"iforest": {
		"training": false,
		"optimize": {
			"n_trees": [50, 1000]
		},
		"const": {
			"max_features": 1.0
		},
		"default": {
			"n_trees": 500
		}

	},
	"deepant": {
		"training": true,
		"optimize": {
			"window_size": [10, 200],
			"prediction_window_size": [10, 200]
		},
		"const": {
			"epochs": 500,
			"learning_rate": 0.001
		},
		"default": {
			"window_size": 50,
			"prediction_window_size": 50
		}

	},
	"lstm_ad": {
		"training": true,
		"optimize": {
			"lstm_layers": [1, 5],
			"window_size": [50, 500],
			"prediction_window_size": [10, 100]
		},
		"const": {
			"epochs": 500,
			"learning_rate": 0.001
		},
		"default": {
			"lstm_layers": 1,
			"window_size": 200,
			"prediction_window_size": 50 
		}

	},
	"health_esn": {
		"training": true,
		"optimize": {
			"prediction_window_size": [10, 100]
		},
		"const": {
		},
		"default": {
			"prediction_window_size": 50
		}

	},
	"random_black_forest": {
		"training": true,
		"optimize": {},
		"const": {}
	},
	"if_lof": {
		"training": false,
		"optimize": {
			"n_neighbors": [10, 100],
			"n_trees": [50, 1000]
		},
		"const": {},
		"default": {
			"n_trees": 500,
			"n_neighbors": 50
		}

	},
	"lof": {
		"training": false,
		"optimize": {
			"n_neighbors": [10, 100],
			"leaf_size": [5, 50]
		},
		"const": {},
		"default": {
			"n_neighbors": 50,
			"leaf_size": 20
		}

	}

}