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Updated tests log references
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@antoinecarme
antoinecarme committed Jun 17, 2024
1 parent aff85a8 commit 37a2ea7
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21 changes: 11 additions & 10 deletions tests/references/HeartRateTimeSeries/HeartRateTimeSeries_series1.log
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Original file line number Diff line number Diff line change
Expand Up @@ -229,7 +229,7 @@ INFO:pyaf.std:[
}
]
INFO:pyaf.std:PERF_DUMP_END
INFO:pyaf.std:TRAINING_ENGINE_END 28.991
INFO:pyaf.std:TRAINING_ENGINE_END 20.65
INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=0 TimeMax=1430 TimeDelta=1 Horizon=10
INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='HeartRate' Length=1799 Min=73.4366 Max=106.756 Mean=92.600743 StdDev=5.485826
INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_HeartRate' Min=0.0 Max=1.0 Mean=0.575165 StdDev=0.164644
Expand All @@ -239,12 +239,12 @@ INFO:pyaf.std:BEST_DECOMPOSITION '_HeartRate_Lag1Trend_residue_Cycle_5_residue_
INFO:pyaf.std:TREND_DETAIL '_HeartRate_Lag1Trend' [Lag1Trend]
INFO:pyaf.std:CYCLE_DETAIL '_HeartRate_Lag1Trend_residue_Cycle_5' [Cycle_5]
INFO:pyaf.std:AUTOREG_DETAIL '_HeartRate_Lag1Trend_residue_Cycle_5_residue_NoAR' [NoAR]
INFO:pyaf.std:MODEL_PERFS Fit STEP=1 {'MAPE': 0.0096, 'RMSE': 1.3415, 'MAE': 0.8835, 'MASE': 0.9993}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=1 {'MAPE': 0.0105, 'RMSE': 1.6596, 'MAE': 0.9578, 'MASE': 0.9979}
INFO:pyaf.std:MODEL_PERFS Test STEP=1 {'MAPE': 0.0069, 'RMSE': 1.0148, 'MAE': 0.6976, 'MASE': 0.9989}
INFO:pyaf.std:MODEL_PERFS Fit STEP=10 {'MAPE': 0.0415, 'RMSE': 5.0017, 'MAE': 3.8263, 'MASE': 4.3276}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=10 {'MAPE': 0.0442, 'RMSE': 5.2626, 'MAE': 4.0598, 'MASE': 4.23}
INFO:pyaf.std:MODEL_PERFS Test STEP=10 {'MAPE': 0.0305, 'RMSE': 3.4024, 'MAE': 3.1173, 'MASE': 4.4636}
INFO:pyaf.std:MODEL_PERFS Fit STEP=1 {'MAPE': np.float64(0.0096), 'RMSE': np.float64(1.3415), 'MAE': np.float64(0.8835), 'MASE': np.float64(0.9993)}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=1 {'MAPE': np.float64(0.0105), 'RMSE': np.float64(1.6596), 'MAE': np.float64(0.9578), 'MASE': np.float64(0.9979)}
INFO:pyaf.std:MODEL_PERFS Test STEP=1 {'MAPE': np.float64(0.0069), 'RMSE': np.float64(1.0148), 'MAE': np.float64(0.6976), 'MASE': np.float64(0.9989)}
INFO:pyaf.std:MODEL_PERFS Fit STEP=10 {'MAPE': np.float64(0.0415), 'RMSE': np.float64(5.0017), 'MAE': np.float64(3.8263), 'MASE': np.float64(4.3276)}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=10 {'MAPE': np.float64(0.0442), 'RMSE': np.float64(5.2626), 'MAE': np.float64(4.0598), 'MASE': np.float64(4.23)}
INFO:pyaf.std:MODEL_PERFS Test STEP=10 {'MAPE': np.float64(0.0305), 'RMSE': np.float64(3.4024), 'MAE': np.float64(3.1173), 'MASE': np.float64(4.4636)}
INFO:pyaf.std:MODEL_COMPLEXITY {'Decomposition': 'S', 'Transformation': 'S', 'Trend': 'S', 'Cycle': 'S', 'AR': 'S'} [SSSSS]
INFO:pyaf.std:SIGNAL_TRANSFORMATION_DETAIL_START
INFO:pyaf.std:SIGNAL_TRANSFORMATION_MODEL_VALUES NoTransf None
Expand All @@ -253,7 +253,7 @@ INFO:pyaf.std:TREND_DETAIL_START
INFO:pyaf.std:LAG1_TREND Lag1Trend 0.325129
INFO:pyaf.std:TREND_DETAIL_END
INFO:pyaf.std:CYCLE_MODEL_DETAIL_START
INFO:pyaf.std:BEST_CYCLE_LENGTH_VALUES _HeartRate_Lag1Trend_residue_Cycle_5 5 0.0 {0: 0.0, 1: 0.00062, 2: 0.000149, 3: 0.0, 4: -6e-05}
INFO:pyaf.std:BEST_CYCLE_LENGTH_VALUES _HeartRate_Lag1Trend_residue_Cycle_5 5 0.0 {0: np.float64(0.0), 1: np.float64(0.00062), 2: np.float64(0.000149), 3: np.float64(0.0), 4: np.float64(-6e-05)}
INFO:pyaf.std:CYCLE_MODEL_DETAIL_END
INFO:pyaf.std:AR_MODEL_DETAIL_START
INFO:pyaf.std:AR_MODEL_DETAIL_END
Expand All @@ -273,7 +273,7 @@ INFO:pyaf.std:SAVING_PLOT ('Forecast', 'outputs/HeartRateTimeSeries_series1_Hear
INFO:pyaf.std:SAVING_PLOT ('PredictionIntervals', 'outputs/HeartRateTimeSeries_series1_HeartRate_prediction_intervals_output.png')
INFO:pyaf.std:SAVING_PLOT ('Quantiles', 'outputs/HeartRateTimeSeries_series1_HeartRate_quantiles_output.png')
INFO:pyaf.std:FORECASTING_ENGINE_START {'Signals': ['HeartRate'], 'Horizons': {'HeartRate': 10}}
INFO:pyaf.std:FORECASTING_ENGINE_END 0.513
INFO:pyaf.std:FORECASTING_ENGINE_END 0.401
Forecast Columns Index(['Date', 'HeartRate', 'HeartRate_scaled', '_HeartRate', 'row_number',
'Date_Normalized', '_HeartRate_Lag1Trend',
'_HeartRate_Lag1Trend_residue', 'cycle_internal',
Expand Down Expand Up @@ -413,7 +413,7 @@ Forecasts
},
"Model_Selection_Criterion": "MASE"
},
"Training_Time": 28.991
"Training_Time": 20.65
}
</ModelInfo>

Expand All @@ -425,3 +425,4 @@ Forecasts
</Forecast>


EXECUTION_TIME_DETAIL = {'CMD':'timeout 480 python tests/HeartRateTimeSeries/HeartRateTimeSeries_series1.py', 'ElapsedTimeSecs':(40.12, 0.61, 14.25), 'MAX_MEM_KB':231852, 'CPU_PRCNT':'37%', 'FILES_IN':8, 'FILES_OUT':1824, 'EXIT_STATUS':0}
21 changes: 11 additions & 10 deletions tests/references/HeartRateTimeSeries/HeartRateTimeSeries_series2.log
View file
Original file line number Diff line number Diff line change
Expand Up @@ -229,7 +229,7 @@ INFO:pyaf.std:[
}
]
INFO:pyaf.std:PERF_DUMP_END
INFO:pyaf.std:TRAINING_ENGINE_END 29.486
INFO:pyaf.std:TRAINING_ENGINE_END 20.352
INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=0 TimeMax=1430 TimeDelta=1 Horizon=10
INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='HeartRate' Length=1799 Min=80.2139 Max=104.895 Mean=96.64035 StdDev=5.685869
INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_HeartRate' Min=0.0 Max=1.0 Mean=0.665548 StdDev=0.230373
Expand All @@ -239,12 +239,12 @@ INFO:pyaf.std:BEST_DECOMPOSITION '_HeartRate_Lag1Trend_residue_Cycle_5_residue_
INFO:pyaf.std:TREND_DETAIL '_HeartRate_Lag1Trend' [Lag1Trend]
INFO:pyaf.std:CYCLE_DETAIL '_HeartRate_Lag1Trend_residue_Cycle_5' [Cycle_5]
INFO:pyaf.std:AUTOREG_DETAIL '_HeartRate_Lag1Trend_residue_Cycle_5_residue_NoAR' [NoAR]
INFO:pyaf.std:MODEL_PERFS Fit STEP=1 {'MAPE': 0.0057, 'RMSE': 0.8799, 'MAE': 0.5379, 'MASE': 0.9982}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=1 {'MAPE': 0.0095, 'RMSE': 1.4066, 'MAE': 0.8761, 'MASE': 0.9976}
INFO:pyaf.std:MODEL_PERFS Test STEP=1 {'MAPE': 0.0031, 'RMSE': 0.3991, 'MAE': 0.3065, 'MASE': 1.0175}
INFO:pyaf.std:MODEL_PERFS Fit STEP=10 {'MAPE': 0.0302, 'RMSE': 3.8123, 'MAE': 2.8427, 'MASE': 5.2756}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=10 {'MAPE': 0.0327, 'RMSE': 3.9586, 'MAE': 3.073, 'MASE': 3.499}
INFO:pyaf.std:MODEL_PERFS Test STEP=10 {'MAPE': 0.0096, 'RMSE': 1.1101, 'MAE': 0.9469, 'MASE': 3.1436}
INFO:pyaf.std:MODEL_PERFS Fit STEP=1 {'MAPE': np.float64(0.0057), 'RMSE': np.float64(0.8799), 'MAE': np.float64(0.5379), 'MASE': np.float64(0.9982)}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=1 {'MAPE': np.float64(0.0095), 'RMSE': np.float64(1.4066), 'MAE': np.float64(0.8761), 'MASE': np.float64(0.9976)}
INFO:pyaf.std:MODEL_PERFS Test STEP=1 {'MAPE': np.float64(0.0031), 'RMSE': np.float64(0.3991), 'MAE': np.float64(0.3065), 'MASE': np.float64(1.0175)}
INFO:pyaf.std:MODEL_PERFS Fit STEP=10 {'MAPE': np.float64(0.0302), 'RMSE': np.float64(3.8123), 'MAE': np.float64(2.8427), 'MASE': np.float64(5.2756)}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=10 {'MAPE': np.float64(0.0327), 'RMSE': np.float64(3.9586), 'MAE': np.float64(3.073), 'MASE': np.float64(3.499)}
INFO:pyaf.std:MODEL_PERFS Test STEP=10 {'MAPE': np.float64(0.0096), 'RMSE': np.float64(1.1101), 'MAE': np.float64(0.9469), 'MASE': np.float64(3.1436)}
INFO:pyaf.std:MODEL_COMPLEXITY {'Decomposition': 'S', 'Transformation': 'S', 'Trend': 'S', 'Cycle': 'S', 'AR': 'S'} [SSSSS]
INFO:pyaf.std:SIGNAL_TRANSFORMATION_DETAIL_START
INFO:pyaf.std:SIGNAL_TRANSFORMATION_MODEL_VALUES NoTransf None
Expand All @@ -253,7 +253,7 @@ INFO:pyaf.std:TREND_DETAIL_START
INFO:pyaf.std:LAG1_TREND Lag1Trend 0.455794
INFO:pyaf.std:TREND_DETAIL_END
INFO:pyaf.std:CYCLE_MODEL_DETAIL_START
INFO:pyaf.std:BEST_CYCLE_LENGTH_VALUES _HeartRate_Lag1Trend_residue_Cycle_5 5 0.0 {0: 0.0, 1: 0.0, 2: 0.000223, 3: 0.0, 4: 0.002162}
INFO:pyaf.std:BEST_CYCLE_LENGTH_VALUES _HeartRate_Lag1Trend_residue_Cycle_5 5 0.0 {0: np.float64(0.0), 1: np.float64(0.0), 2: np.float64(0.000223), 3: np.float64(0.0), 4: np.float64(0.002162)}
INFO:pyaf.std:CYCLE_MODEL_DETAIL_END
INFO:pyaf.std:AR_MODEL_DETAIL_START
INFO:pyaf.std:AR_MODEL_DETAIL_END
Expand All @@ -273,7 +273,7 @@ INFO:pyaf.std:SAVING_PLOT ('Forecast', 'outputs/HeartRateTimeSeries_series2_Hear
INFO:pyaf.std:SAVING_PLOT ('PredictionIntervals', 'outputs/HeartRateTimeSeries_series2_HeartRate_prediction_intervals_output.png')
INFO:pyaf.std:SAVING_PLOT ('Quantiles', 'outputs/HeartRateTimeSeries_series2_HeartRate_quantiles_output.png')
INFO:pyaf.std:FORECASTING_ENGINE_START {'Signals': ['HeartRate'], 'Horizons': {'HeartRate': 10}}
INFO:pyaf.std:FORECASTING_ENGINE_END 0.38
INFO:pyaf.std:FORECASTING_ENGINE_END 0.288
Forecast Columns Index(['Date', 'HeartRate', 'HeartRate_scaled', '_HeartRate', 'row_number',
'Date_Normalized', '_HeartRate_Lag1Trend',
'_HeartRate_Lag1Trend_residue', 'cycle_internal',
Expand Down Expand Up @@ -413,7 +413,7 @@ Forecasts
},
"Model_Selection_Criterion": "MASE"
},
"Training_Time": 29.486
"Training_Time": 20.352
}
</ModelInfo>

Expand All @@ -425,3 +425,4 @@ Forecasts
</Forecast>


EXECUTION_TIME_DETAIL = {'CMD':'timeout 480 python tests/HeartRateTimeSeries/HeartRateTimeSeries_series2.py', 'ElapsedTimeSecs':(38.26, 0.62, 14.10), 'MAX_MEM_KB':232956, 'CPU_PRCNT':'38%', 'FILES_IN':8, 'FILES_OUT':1776, 'EXIT_STATUS':0}
19 changes: 10 additions & 9 deletions tests/references/HeartRateTimeSeries/HeartRateTimeSeries_series3.log
View file
Original file line number Diff line number Diff line change
Expand Up @@ -229,7 +229,7 @@ INFO:pyaf.std:[
}
]
INFO:pyaf.std:PERF_DUMP_END
INFO:pyaf.std:TRAINING_ENGINE_END 28.01
INFO:pyaf.std:TRAINING_ENGINE_END 19.26
INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=0 TimeMax=750 TimeDelta=1 Horizon=10
INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='HeartRate' Length=949 Min=52.0833 Max=75.4733 Mean=58.671323 StdDev=3.409733
INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='_HeartRate' Min=0.0 Max=1.0 Mean=0.28166 StdDev=0.145777
Expand All @@ -239,12 +239,12 @@ INFO:pyaf.std:BEST_DECOMPOSITION '_HeartRate_Lag1Trend_residue_Cycle_None_resid
INFO:pyaf.std:TREND_DETAIL '_HeartRate_Lag1Trend' [Lag1Trend]
INFO:pyaf.std:CYCLE_DETAIL '_HeartRate_Lag1Trend_residue_Cycle_None' [Cycle_None]
INFO:pyaf.std:AUTOREG_DETAIL '_HeartRate_Lag1Trend_residue_Cycle_None_residue_NoAR' [NoAR]
INFO:pyaf.std:MODEL_PERFS Fit STEP=1 {'MAPE': 0.0146, 'RMSE': 1.1878, 'MAE': 0.8622, 'MASE': 0.9987}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=1 {'MAPE': 0.0135, 'RMSE': 1.2159, 'MAE': 0.8098, 'MASE': 1.0016}
INFO:pyaf.std:MODEL_PERFS Test STEP=1 {'MAPE': 0.0131, 'RMSE': 0.8491, 'MAE': 0.728, 'MASE': 0.9782}
INFO:pyaf.std:MODEL_PERFS Fit STEP=10 {'MAPE': 0.0484, 'RMSE': 3.8334, 'MAE': 2.8696, 'MASE': 3.3239}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=10 {'MAPE': 0.0473, 'RMSE': 3.9486, 'MAE': 2.8261, 'MASE': 3.4957}
INFO:pyaf.std:MODEL_PERFS Test STEP=10 {'MAPE': 0.03, 'RMSE': 2.0788, 'MAE': 1.6356, 'MASE': 2.1978}
INFO:pyaf.std:MODEL_PERFS Fit STEP=1 {'MAPE': np.float64(0.0146), 'RMSE': np.float64(1.1878), 'MAE': np.float64(0.8622), 'MASE': np.float64(0.9987)}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=1 {'MAPE': np.float64(0.0135), 'RMSE': np.float64(1.2159), 'MAE': np.float64(0.8098), 'MASE': np.float64(1.0016)}
INFO:pyaf.std:MODEL_PERFS Test STEP=1 {'MAPE': np.float64(0.0131), 'RMSE': np.float64(0.8491), 'MAE': np.float64(0.728), 'MASE': np.float64(0.9782)}
INFO:pyaf.std:MODEL_PERFS Fit STEP=10 {'MAPE': np.float64(0.0484), 'RMSE': np.float64(3.8334), 'MAE': np.float64(2.8696), 'MASE': np.float64(3.3239)}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=10 {'MAPE': np.float64(0.0473), 'RMSE': np.float64(3.9486), 'MAE': np.float64(2.8261), 'MASE': np.float64(3.4957)}
INFO:pyaf.std:MODEL_PERFS Test STEP=10 {'MAPE': np.float64(0.03), 'RMSE': np.float64(2.0788), 'MAE': np.float64(1.6356), 'MASE': np.float64(2.1978)}
INFO:pyaf.std:MODEL_COMPLEXITY {'Decomposition': 'S', 'Transformation': 'S', 'Trend': 'S', 'Cycle': 'S', 'AR': 'S'} [SSSSS]
INFO:pyaf.std:SIGNAL_TRANSFORMATION_DETAIL_START
INFO:pyaf.std:SIGNAL_TRANSFORMATION_MODEL_VALUES NoTransf None
Expand Down Expand Up @@ -275,7 +275,7 @@ INFO:pyaf.std:SAVING_PLOT ('Forecast', 'outputs/HeartRateTimeSeries_series3_Hear
INFO:pyaf.std:SAVING_PLOT ('PredictionIntervals', 'outputs/HeartRateTimeSeries_series3_HeartRate_prediction_intervals_output.png')
INFO:pyaf.std:SAVING_PLOT ('Quantiles', 'outputs/HeartRateTimeSeries_series3_HeartRate_quantiles_output.png')
INFO:pyaf.std:FORECASTING_ENGINE_START {'Signals': ['HeartRate'], 'Horizons': {'HeartRate': 10}}
INFO:pyaf.std:FORECASTING_ENGINE_END 0.313
INFO:pyaf.std:FORECASTING_ENGINE_END 0.285
Forecast Columns Index(['Date', 'HeartRate', 'HeartRate_scaled', '_HeartRate', 'row_number',
'Date_Normalized', '_HeartRate_Lag1Trend',
'_HeartRate_Lag1Trend_residue',
Expand Down Expand Up @@ -413,7 +413,7 @@ Forecasts
},
"Model_Selection_Criterion": "MASE"
},
"Training_Time": 28.01
"Training_Time": 19.26
}
</ModelInfo>

Expand All @@ -425,3 +425,4 @@ Forecasts
</Forecast>


EXECUTION_TIME_DETAIL = {'CMD':'timeout 480 python tests/HeartRateTimeSeries/HeartRateTimeSeries_series3.py', 'ElapsedTimeSecs':(37.33, 0.58, 13.24), 'MAX_MEM_KB':231444, 'CPU_PRCNT':'37%', 'FILES_IN':8, 'FILES_OUT':1896, 'EXIT_STATUS':0}
21 changes: 11 additions & 10 deletions tests/references/HeartRateTimeSeries/HeartRateTimeSeries_series4.log
View file
Original file line number Diff line number Diff line change
Expand Up @@ -229,7 +229,7 @@ INFO:pyaf.std:[
}
]
INFO:pyaf.std:PERF_DUMP_END
INFO:pyaf.std:TRAINING_ENGINE_END 27.322
INFO:pyaf.std:TRAINING_ENGINE_END 19.275
INFO:pyaf.std:TIME_DETAIL TimeVariable='Date' TimeMin=0 TimeMax=750 TimeDelta=1 Horizon=10
INFO:pyaf.std:SIGNAL_DETAIL_ORIG SignalVariable='HeartRate' Length=949 Min=52.9153 Max=77.4244 Mean=58.72698 StdDev=3.540011
INFO:pyaf.std:SIGNAL_DETAIL_TRANSFORMED TransformedSignalVariable='Diff_HeartRate' Min=-0.704041 Max=0.632883 Mean=-0.000118 StdDev=0.057999
Expand All @@ -239,18 +239,18 @@ INFO:pyaf.std:BEST_DECOMPOSITION 'Diff_HeartRate_LinearTrend_residue_Cycle_None
INFO:pyaf.std:TREND_DETAIL 'Diff_HeartRate_LinearTrend' [LinearTrend]
INFO:pyaf.std:CYCLE_DETAIL 'Diff_HeartRate_LinearTrend_residue_Cycle_None' [Cycle_None]
INFO:pyaf.std:AUTOREG_DETAIL 'Diff_HeartRate_LinearTrend_residue_Cycle_None_residue_NoAR' [NoAR]
INFO:pyaf.std:MODEL_PERFS Fit STEP=1 {'MAPE': 0.0421, 'RMSE': 3.5952, 'MAE': 2.5326, 'MASE': 3.4353}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=1 {'MAPE': 0.0463, 'RMSE': 3.367, 'MAE': 2.7928, 'MASE': 2.8918}
INFO:pyaf.std:MODEL_PERFS Test STEP=1 {'MAPE': 0.0495, 'RMSE': 3.4078, 'MAE': 3.0297, 'MASE': 2.1374}
INFO:pyaf.std:MODEL_PERFS Fit STEP=10 {'MAPE': 0.0421, 'RMSE': 3.5952, 'MAE': 2.5326, 'MASE': 3.4353}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=10 {'MAPE': 0.0463, 'RMSE': 3.367, 'MAE': 2.7928, 'MASE': 2.8918}
INFO:pyaf.std:MODEL_PERFS Test STEP=10 {'MAPE': 0.0495, 'RMSE': 3.4078, 'MAE': 3.0297, 'MASE': 2.1374}
INFO:pyaf.std:MODEL_PERFS Fit STEP=1 {'MAPE': np.float64(0.0421), 'RMSE': np.float64(3.5952), 'MAE': np.float64(2.5326), 'MASE': np.float64(3.4353)}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=1 {'MAPE': np.float64(0.0463), 'RMSE': np.float64(3.367), 'MAE': np.float64(2.7928), 'MASE': np.float64(2.8918)}
INFO:pyaf.std:MODEL_PERFS Test STEP=1 {'MAPE': np.float64(0.0495), 'RMSE': np.float64(3.4078), 'MAE': np.float64(3.0297), 'MASE': np.float64(2.1374)}
INFO:pyaf.std:MODEL_PERFS Fit STEP=10 {'MAPE': np.float64(0.0421), 'RMSE': np.float64(3.5952), 'MAE': np.float64(2.5326), 'MASE': np.float64(3.4353)}
INFO:pyaf.std:MODEL_PERFS Forecast STEP=10 {'MAPE': np.float64(0.0463), 'RMSE': np.float64(3.367), 'MAE': np.float64(2.7928), 'MASE': np.float64(2.8918)}
INFO:pyaf.std:MODEL_PERFS Test STEP=10 {'MAPE': np.float64(0.0495), 'RMSE': np.float64(3.4078), 'MAE': np.float64(3.0297), 'MASE': np.float64(2.1374)}
INFO:pyaf.std:MODEL_COMPLEXITY {'Decomposition': 'S', 'Transformation': 'M', 'Trend': 'S', 'Cycle': 'S', 'AR': 'S'} [MSSSS]
INFO:pyaf.std:SIGNAL_TRANSFORMATION_DETAIL_START
INFO:pyaf.std:DIFFERENCING_TRANSFORMATION Difference 0.26003402817728904
INFO:pyaf.std:SIGNAL_TRANSFORMATION_DETAIL_END
INFO:pyaf.std:TREND_DETAIL_START
INFO:pyaf.std:LINEAR_RIDGE_TREND LinearTrend (-0.000163, array([0.000246]))
INFO:pyaf.std:LINEAR_RIDGE_TREND LinearTrend (np.float64(-0.000163), array([0.000246]))
INFO:pyaf.std:TREND_DETAIL_END
INFO:pyaf.std:CYCLE_MODEL_DETAIL_START
INFO:pyaf.std:BEST_CYCLE_LENGTH_VALUES Diff_HeartRate_LinearTrend_residue_Cycle_None None 8.6e-05 {}
Expand All @@ -269,7 +269,7 @@ INFO:pyaf.std:SAVING_PLOT ('Forecast', 'outputs/HeartRateTimeSeries_series4_Hear
INFO:pyaf.std:SAVING_PLOT ('PredictionIntervals', 'outputs/HeartRateTimeSeries_series4_HeartRate_prediction_intervals_output.png')
INFO:pyaf.std:SAVING_PLOT ('Quantiles', 'outputs/HeartRateTimeSeries_series4_HeartRate_quantiles_output.png')
INFO:pyaf.std:FORECASTING_ENGINE_START {'Signals': ['HeartRate'], 'Horizons': {'HeartRate': 10}}
INFO:pyaf.std:FORECASTING_ENGINE_END 0.41
INFO:pyaf.std:FORECASTING_ENGINE_END 0.354
Forecast Columns Index(['Date', 'HeartRate', 'HeartRate_scaled', 'Diff_HeartRate', 'row_number',
'Date_Normalized', 'Diff_HeartRate_LinearTrend',
'Diff_HeartRate_LinearTrend_residue',
Expand Down Expand Up @@ -408,7 +408,7 @@ Forecasts
},
"Model_Selection_Criterion": "MASE"
},
"Training_Time": 27.322
"Training_Time": 19.275
}
</ModelInfo>

Expand All @@ -420,3 +420,4 @@ Forecasts
</Forecast>


EXECUTION_TIME_DETAIL = {'CMD':'timeout 480 python tests/HeartRateTimeSeries/HeartRateTimeSeries_series4.py', 'ElapsedTimeSecs':(38.74, 0.59, 13.33), 'MAX_MEM_KB':229188, 'CPU_PRCNT':'35%', 'FILES_IN':8, 'FILES_OUT':1568, 'EXIT_STATUS':0}
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