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manifest.json
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manifest.json
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{
"title": "DeepAnT",
"description": "Adapted community implementation (https://github.com/dev-aadarsh/DeepAnT)",
"inputDimensionality": "multivariate",
"version": "0.3.0",
"authors": "Mohsin Munir and Shoaib Ahmed Siddiqui and Andreas Dengel and Sheraz Ahmed",
"language": "Python",
"type": "Detector",
"learningType": "semi-supervised",
"mainFile": "algorithm.py",
"trainingStep": {
"parameters": [
{
"name": "epochs",
"type": "int",
"description": "Number of training epochs",
"defaultValue": 50,
"optional": "true"
},
{
"name": "window_size",
"type": "int",
"description": "History window: Number of time stamps in history, which are taken into account",
"defaultValue": 45,
"optional": "true"
},
{
"name": "prediction_window_size",
"type": "int",
"description": "Prediction window: Number of data points that will be predicted from each window",
"defaultValue": 1,
"optional": "true"
},
{
"name": "learning_rate",
"type": "float",
"description": "Learning rate",
"defaultValue": 1e-05,
"optional": "true"
},
{
"name": "batch_size",
"type": "int",
"description": "Batch size for input data",
"defaultValue": 45,
"optional": "true"
},
{
"name": "random_state",
"type": "int",
"defaultValue": 42,
"optional": "true",
"description": "Seed for the random number generator"
},
{
"name": "split",
"type": "float",
"defaultValue": 0.8,
"optional": "true",
"description": "Train-validation split for early stopping"
},
{
"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": "early_stopping_patience",
"type": "int",
"defaultValue": 10,
"optional": "true",
"description": "If 1 - (loss / last_loss) is less than `delta` for `patience` epochs, stop"
}
],
"modelInput": "none"
},
"executionStep": {
"parameters": [
{
"name": "window_size",
"type": "int",
"description": "History window that was used for the model training",
"defaultValue": 45,
"optional": "false"
},
{
"name": "prediction_window_size",
"type": "int",
"description": "Prediction window that was used for the model training",
"defaultValue": 1,
"optional": "false"
},
{
"name": "random_state",
"type": "int",
"defaultValue": 42,
"optional": "true",
"description": "Seed for the random number generator"
}
],
"modelInput": "optional"
}
}