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orion_tadgan.json
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70 lines (70 loc) · 2.16 KB
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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",
"orion.primitives.tadgan.TadGAN",
"orion.primitives.tadgan.score_anomalies",
"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": 100,
"target_size": 1
},
"orion.primitives.tadgan.TadGAN#1": {
"epochs": 35
},
"orion.primitives.tadgan.score_anomalies#1": {
"rec_error_type": "dtw"
},
"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": "index"
},
"orion.primitives.tadgan.score_anomalies#1": {
"y": "X"
}
},
"output_names": {
"orion.primitives.tadgan.TadGAN#1": {
"y": "y_hat"
},
"mlstars.custom.timeseries_preprocessing.rolling_window_sequences#1": {
"index": "X_index"
}
},
"outputs": {
"default": [
{
"name": "events",
"variable": "orion.primitives.timeseries_anomalies.find_anomalies#1.y"
}
],
"visualization": [
{
"name": "generated_timeseries",
"variable": "orion.primitives.tadgan.score_anomalies#1.predictions"
}
]
}
}