lstm_dynamic_threshold.json

{
    "primitives": [
        "mlprimitives.custom.timeseries_preprocessing.time_segments_average",
        "sklearn.impute.SimpleImputer",
        "sklearn.preprocessing.MinMaxScaler",
        "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences",
        "keras.Sequential.LSTMTimeSeriesRegressor",
        "mlprimitives.custom.timeseries_anomalies.regression_errors",
        "mlprimitives.custom.timeseries_anomalies.find_anomalies"
    ],
    "init_params": {
        "mlprimitives.custom.timeseries_preprocessing.time_segments_average#1": {
            "time_column": "timestamp",
            "interval": 21600
        },
        "sklearn.preprocessing.MinMaxScaler#1": {
            "feature_range": [
                -1,
                1
            ]
        },
        "mlprimitives.custom.timeseries_preprocessing.rolling_window_sequences#1": {
            "target_column": 0,
            "window_size": 250
        },
        "keras.Sequential.LSTMTimeSeriesRegressor": {
            "epochs": 35
        }
    },
    "input_names": {
        "mlprimitives.custom.timeseries_anomalies.find_anomalies#1": {
            "index": "target_index"
        }
    },
    "output_names": {
        "keras.Sequential.LSTMTimeSeriesRegressor#1": {
            "y": "y_hat"
        }
    }
}