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CritasWang merged 1 commit into from
May 15, 2025
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add time column in ai result #719

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186 changes: 92 additions & 94 deletions src/UserGuide/Master/Tree/AI-capability/AINode_apache.md
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184 changes: 92 additions & 92 deletions src/UserGuide/Master/Tree/AI-capability/AINode_timecho.md
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Original file line number Diff line number Diff line change
Expand Up @@ -234,15 +234,15 @@ Built-in model inference does not require a registration process, the inference

The following machine learning models are currently built-in, please refer to the following links for detailed parameter descriptions.

| Model | built_in_model_name | Task type | Parameter description |
| -------------------- | --------------------- | -------- | ------------------------------------------------------------ |
| Arima | _Arima | Forecast | [Arima Parameter description](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.forecasting.arima.ARIMA.html?highlight=Arima) |
| Model | built_in_model_name | Task type | Parameter description |
| -------------------- | --------------------- | -------- |-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Arima | _Arima | Forecast | [Arima Parameter description](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.forecasting.arima.ARIMA.html?highlight=Arima) |
| STLForecaster | _STLForecaster | Forecast | [STLForecaster Parameter description](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.forecasting.trend.STLForecaster.html#sktime.forecasting.trend.STLForecaster) |
| NaiveForecaster | _NaiveForecaster | Forecast | [NaiveForecaster Parameter description](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.forecasting.naive.NaiveForecaster.html#naiveforecaster) |
| ExponentialSmoothing | _ExponentialSmoothing | Forecast | [ExponentialSmoothing 参Parameter description](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.forecasting.exp_smoothing.ExponentialSmoothing.html) |
| GaussianHMM | _GaussianHMM | Annotation | [GaussianHMMParameter description](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.annotation.hmm_learn.gaussian.GaussianHMM.html) |
| GMMHMM | _GMMHMM | Annotation | [GMMHMM参数说明](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.annotation.hmm_learn.gmm.GMMHMM.html) |
| Stray | _Stray | Anomaly detection | [Stray Parameter description](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.annotation.stray.STRAY.html) |
| NaiveForecaster | _NaiveForecaster | Forecast | [NaiveForecaster Parameter description](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.forecasting.naive.NaiveForecaster.html#naiveforecaster) |
| ExponentialSmoothing | _ExponentialSmoothing | Forecast | [ExponentialSmoothing Parameter description](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.forecasting.exp_smoothing.ExponentialSmoothing.html) |
| GaussianHMM | _GaussianHMM | Annotation | [GaussianHMMParameter description](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.detection.hmm_learn.gaussian.GaussianHMM.html) |
| GMMHMM | _GMMHMM | Annotation | [GMMHMM Parameter description](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.detection.hmm_learn.gmm.GMMHMM.html) |
| Stray | _Stray | Anomaly detection | [Stray Parameter description](https://www.sktime.net/en/latest/api_reference/auto_generated/sktime.detection.stray.STRAY.html) |


#### Example
Expand All @@ -266,22 +266,22 @@ IoTDB> select * from root.eg.airline
+-----------------------------+------------------+
Total line number = 144

IoTDB> call inference(_Stray, "select s0 from root.eg.airline", k=2)
+-------+
|output0|
+-------+
| 0|
| 0|
| 0|
| 0|
IoTDB> call inference(_Stray, "select s0 from root.eg.airline", generateTime=True, k=2)
+-----------------------------+-------+
| Time|output0|
+-----------------------------+-------+
|1960-12-31T00:00:00.000+08:00| 0|
|1961-01-31T08:00:00.000+08:00| 1|
|1961-02-28T08:00:00.000+08:00| 0|
|1961-03-31T08:00:00.000+08:00| 0|
......
| 1|
| 1|
| 0|
| 0|
| 0|
| 0|
+-------+
|1972-06-30T08:00:00.000+08:00| 0|
|1972-07-31T08:00:00.000+08:00| 1|
|1972-08-31T08:00:00.000+08:00| 0|
|1972-09-30T08:00:00.000+08:00| 0|
|1972-10-31T08:00:00.000+08:00| 0|
|1972-11-30T08:00:00.000+08:00| 0|
+-----------------------------+-------+
Total line number = 144
```

Expand Down Expand Up @@ -345,18 +345,18 @@ IoTDB> select s1,s2 from root.**
+-----------------------------+-------------------+-------------------+
Total line number = 96

IoTDB> call inference(dlinear_example,"select s0,s1 from root.**")
+--------------------------------------------+-----------------------------+
| _result_0| _result_1|
+--------------------------------------------+-----------------------------+
| 0.726302981376648| 1.6549958229064941|
| 0.7354921698570251| 1.6482787370681763|
| 0.7238251566886902| 1.6278168201446533|
IoTDB> call inference(dlinear_example,"select s0,s1 from root.**", generateTime=True)
+-----------------------------+--------------------------------------------+-----------------------------+
| Time| _result_0| _result_1|
+-----------------------------+--------------------------------------------+-----------------------------+
|1990-04-06T00:00:00.000+08:00| 0.726302981376648| 1.6549958229064941|
|1990-04-08T00:00:00.000+08:00| 0.7354921698570251| 1.6482787370681763|
|1990-04-10T00:00:00.000+08:00| 0.7238251566886902| 1.6278168201446533|
......
| 0.7692174911499023| 1.654654049873352|
| 0.7685555815696716| 1.6625318765640259|
| 0.7856493592262268| 1.6508299350738525|
+--------------------------------------------+-----------------------------+
|1990-07-07T00:00:00.000+08:00| 0.7692174911499023| 1.654654049873352|
|1990-07-09T00:00:00.000+08:00| 0.7685555815696716| 1.6625318765640259|
|1990-07-11T00:00:00.000+08:00| 0.7856493592262268| 1.6508299350738525|
+-----------------------------+--------------------------------------------+-----------------------------+
Total line number = 48
```

Expand Down Expand Up @@ -389,18 +389,18 @@ IoTDB> select s1,s2 from root.**
+-----------------------------+-------------------+-------------------+
Total line number = 996

IoTDB> call inference(dlinear_example,"select s0,s1 from root.**",window=tail(96))
+--------------------------------------------+-----------------------------+
| _result_0| _result_1|
+--------------------------------------------+-----------------------------+
| 0.726302981376648| 1.6549958229064941|
| 0.7354921698570251| 1.6482787370681763|
| 0.7238251566886902| 1.6278168201446533|
IoTDB> call inference(dlinear_example,"select s0,s1 from root.**", generateTime=True, window=tail(96))
+-----------------------------+--------------------------------------------+-----------------------------+
| Time| _result_0| _result_1|
+-----------------------------+--------------------------------------------+-----------------------------+
|1990-04-06T00:00:00.000+08:00| 0.726302981376648| 1.6549958229064941|
|1990-04-08T00:00:00.000+08:00| 0.7354921698570251| 1.6482787370681763|
|1990-04-10T00:00:00.000+08:00| 0.7238251566886902| 1.6278168201446533|
......
| 0.7692174911499023| 1.654654049873352|
| 0.7685555815696716| 1.6625318765640259|
| 0.7856493592262268| 1.6508299350738525|
+--------------------------------------------+-----------------------------+
|1990-07-07T00:00:00.000+08:00| 0.7692174911499023| 1.654654049873352|
|1990-07-09T00:00:00.000+08:00| 0.7685555815696716| 1.6625318765640259|
|1990-07-11T00:00:00.000+08:00| 0.7856493592262268| 1.6508299350738525|
+-----------------------------+--------------------------------------------+-----------------------------+
Total line number = 48
```

Expand Down Expand Up @@ -431,15 +431,15 @@ IoTDB> select s1,s2 from root.**
+-----------------------------+-------------------+-------------------+
Total line number = 96

IoTDB> call inference(anomaly_example,"select s0,s1 from root.**",window=count(24,24))
+-------------------------+
| _result_0|
+-------------------------+
| 0|
| 1|
| 1|
| 0|
+-------------------------+
IoTDB> call inference(anomaly_example,"select s0,s1 from root.**", generateTime=True, window=count(24,24))
+-----------------------------+-------------------------+
| Time| _result_0|
+-----------------------------+-------------------------+
|1990-04-06T00:00:00.000+08:00| 0|
|1990-04-30T00:00:00.000+08:00| 1|
|1990-05-24T00:00:00.000+08:00| 1|
|1990-06-17T00:00:00.000+08:00| 0|
+-----------------------------+-------------------------+
Total line number = 4
```

Expand Down Expand Up @@ -510,18 +510,18 @@ IoTDB> select s0,s1,s2,s3,s4,s5,s6 from root.eg.etth LIMIT 96
+-----------------------------+---------------+---------------+---------------+---------------+---------------+---------------+---------------+
Total line number = 96

IoTDB> call inference(dlinear_example, "select s0,s1,s2,s3,s4,s5,s6 from root.eg.etth", window=head(96))
+-----------+----------+----------+------------+---------+----------+----------+
| output0| output1| output2| output3| output4| output5| output6|
+-----------+----------+----------+------------+---------+----------+----------+
| 10.319546| 3.1450553| 7.877341| 1.5723765|2.7303758| 1.1362307| 8.867775|
| 10.443649| 3.3286757| 7.8593454| 1.7675098| 2.560634| 1.1177158| 8.920919|
| 10.883752| 3.2341104| 8.47036| 1.6116762|2.4874182| 1.1760603| 8.798939|
IoTDB> call inference(dlinear_example, "select s0,s1,s2,s3,s4,s5,s6 from root.eg.etth", generateTime=True, window=head(96))
+-----------------------------+-----------+----------+----------+------------+---------+----------+----------+
| Time| output0| output1| output2| output3| output4| output5| output6|
+-----------------------------+-----------+----------+----------+------------+---------+----------+----------+
|2017-10-23T23:00:00.000+08:00| 10.319546| 3.1450553| 7.877341| 1.5723765|2.7303758| 1.1362307| 8.867775|
|2017-10-24T01:00:00.000+08:00| 10.443649| 3.3286757| 7.8593454| 1.7675098| 2.560634| 1.1177158| 8.920919|
|2017-10-24T03:00:00.000+08:00| 10.883752| 3.2341104| 8.47036| 1.6116762|2.4874182| 1.1760603| 8.798939|
......
| 8.0115595| 1.2995274| 6.9900327|-0.098746896| 3.04923| 1.176214| 9.548782|
| 8.612427| 2.5036244| 5.6790237| 0.66474205|2.8870275| 1.2051733| 9.330128|
| 10.096699| 3.399722| 6.9909| 1.7478468|2.7642853| 1.1119363| 9.541455|
+-----------+----------+----------+------------+---------+----------+----------+
|2017-10-26T19:00:00.000+08:00| 8.0115595| 1.2995274| 6.9900327|-0.098746896| 3.04923| 1.176214| 9.548782|
|2017-10-26T21:00:00.000+08:00| 8.612427| 2.5036244| 5.6790237| 0.66474205|2.8870275| 1.2051733| 9.330128|
|2017-10-26T22:00:00.000+08:00| 10.096699| 3.399722| 6.9909| 1.7478468|2.7642853| 1.1119363| 9.541455|
+-----------------------------+-----------+----------+----------+------------+---------+----------+----------+
Total line number = 48
```

Expand Down Expand Up @@ -574,20 +574,20 @@ IoTDB> select * from root.eg.voltage limit 96
+-----------------------------+------------------+------------------+------------------+
Total line number = 96

IoTDB> call inference(_STLForecaster, "select s0,s1,s2 from root.eg.voltage", window=head(96),predict_length=48)
+---------+---------+---------+
| output0| output1| output2|
+---------+---------+---------+
|2026.3601|2018.2953|2029.4257|
|2019.1538|2011.4361|2022.0888|
|2025.5074|2017.4522|2028.5199|
IoTDB> call inference(_STLForecaster, "select s0,s1,s2 from root.eg.voltage", generateTime=True, window=head(96),predict_length=48)
+-----------------------------+---------+---------+---------+
| Time| output0| output1| output2|
+-----------------------------+---------+---------+---------+
|2023-02-14T20:48:03.000+08:00|2026.3601|2018.2953|2029.4257|
|2023-02-14T20:48:09.000+08:00|2019.1538|2011.4361|2022.0888|
|2023-02-14T20:48:15.000+08:00|2025.5074|2017.4522|2028.5199|
......

|2022.2336|2015.0290|2025.1023|
|2015.7241|2008.8975|2018.5085|
|2022.0777|2014.9136|2024.9396|
|2015.5682|2008.7821|2018.3458|
+---------+---------+---------+
|2023-02-14T20:52:15.000+08:00|2022.2336|2015.0290|2025.1023|
|2023-02-14T20:52:21.000+08:00|2015.7241|2008.8975|2018.5085|
|2023-02-14T20:52:27.000+08:00|2022.0777|2014.9136|2024.9396|
|2023-02-14T20:52:33.000+08:00|2015.5682|2008.7821|2018.3458|
+-----------------------------+---------+---------+---------+
Total line number = 48
```

Expand Down Expand Up @@ -635,22 +635,22 @@ IoTDB> select * from root.eg.airline
+-----------------------------+------------------+
Total line number = 144

IoTDB> call inference(_Stray, "select s0 from root.eg.airline", k=2)
+-------+
|output0|
+-------+
| 0|
| 0|
| 0|
| 0|
IoTDB> call inference(_Stray, "select s0 from root.eg.airline", generateTime=True, k=2)
+-----------------------------+-------+
| Time|output0|
+-----------------------------+-------+
|1960-12-31T00:00:00.000+08:00| 0|
|1961-01-31T08:00:00.000+08:00| 0|
|1961-02-28T08:00:00.000+08:00| 0|
|1961-03-31T08:00:00.000+08:00| 0|
......
| 1|
| 1|
| 0|
| 0|
| 0|
| 0|
+-------+
|1972-06-30T08:00:00.000+08:00| 1|
|1972-07-31T08:00:00.000+08:00| 1|
|1972-08-31T08:00:00.000+08:00| 0|
|1972-09-30T08:00:00.000+08:00| 0|
|1972-10-31T08:00:00.000+08:00| 0|
|1972-11-30T08:00:00.000+08:00| 0|
+-----------------------------+-------+
Total line number = 144
```

Expand Down
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