sintel/tutorials/pipelines/orion_lstmdt.json at 7b5039f418e49930eaaaaf805f4f4b128a4ae367 · sintel-dev/sintel · GitHub

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{
    "primitives": [
        "mlstars.custom.timeseries_preprocessing.time_segments_aggregate",
        "sklearn.impute.SimpleImputer",
        "sklearn.preprocessing.MinMaxScaler",
        "mlstars.custom.timeseries_preprocessing.rolling_window_sequences",
        "keras.Sequential.LSTMTimeSeriesRegressor",
        "orion.primitives.timeseries_errors.regression_errors",
        "orion.primitives.timeseries_anomalies.find_anomalies"
    ],
    "init_params": {
        "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1": {
            "time_column": "timestamp",
            "interval": 21600,
            "method": "mean"
        },
        "sklearn.preprocessing.MinMaxScaler#1": {
            "feature_range": [
                -1,
                1
            ]
        },
        "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": {
            "target_column": 0,
            "window_size": 250
        },
        "keras.Sequential.LSTMTimeSeriesRegressor": {
            "epochs": 35
        },
        "orion.primitives.timeseries_anomalies.find_anomalies#1": {
            "window_size_portion": 0.33,
            "window_step_size_portion": 0.1,
            "fixed_threshold": true
        }
    },
    "input_names": {
        "orion.primitives.timeseries_anomalies.find_anomalies#1": {
            "index": "target_index"
        }
    },
    "output_names": {
        "keras.Sequential.LSTMTimeSeriesRegressor#1": {
            "y": "y_hat"
        }
    },
    "outputs": {
        "default": [
            {
                "name": "events",
                "variable": "orion.primitives.timeseries_anomalies.find_anomalies#1.y"
            }
        ],
        "visualization": [
            {
                "name": "X_raw",
                "variable": "sklearn.impute.SimpleImputer#1.X"
            },
            {
                "name": "raw_index",
                "variable": "mlstars.custom.timeseries_preprocessing.time_segments_aggregate#1.index"
            },
            {
                "name": "X_nm",
                "variable": "sklearn.preprocessing.MinMaxScaler#1.X"
            },
            {
                "name": "target_index",
                "variable": "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1.target_index"
            },
            {
                "name": "y",
                "variable": "mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1.y"
            },
            {
                "name": "y_hat",
                "variable": "keras.Sequential.LSTMTimeSeriesRegressor#1.y_hat"
            },
            {
                "name": "es",
                "variable": "orion.primitives.timeseries_errors.regression_errors#1.errors"
            }
        ]
    }
}