From f28d5efae8465b12accd8fb90a7d5ed11d048f2a Mon Sep 17 00:00:00 2001 From: Haojun Liao Date: Mon, 18 Nov 2024 10:49:35 +0800 Subject: [PATCH] Update index.md --- .../06-advanced/06-TDgpt/04-forecast/index.md | 41 ++++++++++++++----- 1 file changed, 31 insertions(+), 10 deletions(-) diff --git a/docs/zh/06-advanced/06-TDgpt/04-forecast/index.md b/docs/zh/06-advanced/06-TDgpt/04-forecast/index.md index 41461a26fd..5d791fb598 100644 --- a/docs/zh/06-advanced/06-TDgpt/04-forecast/index.md +++ b/docs/zh/06-advanced/06-TDgpt/04-forecast/index.md @@ -5,6 +5,27 @@ description: 预测算法 时序数据预测处理以持续一个时间段的时序数据作为输入，预测接下来一个连续时间区间内时间序列数据趋势。用户可以指定输出的（预测）时间序列数据点的数量，因此其输出的结果行数不确定。为此，TDengine 使用新函数 `FORECAST` 提供时序数据预测服务。基础数据（用于预测的历史时间序列数据）是该函数的输入，预测结果是该函数的输出。用户可以通过 `FORECAST` 函数调用 Anode 提供的预测算法提供的服务。 +在后续章节中，使用时序数据表`foo`作为示例，介绍预测和异常检测算法的使用方式，`foo` 表的模式如下： + +|列名称|类型|说明| +|---|---|---| +|ts| timestamp| 主时间戳列| +|i32| int32| 4字节整数，设备测量值 metric| + +```bash +taos> select * from foo; + ts | k | +======================================== + 2020-01-01 00:00:12.681 | 13 | + 2020-01-01 00:00:13.727 | 14 | + 2020-01-01 00:00:14.378 | 8 | + 2020-01-01 00:00:15.774 | 10 | + 2020-01-01 00:00:16.170 | 16 | + 2020-01-01 00:00:17.558 | 26 | + 2020-01-01 00:00:18.938 | 32 | + 2020-01-01 00:00:19.308 | 27 | +``` + ### 语法 ```SQL FORECAST(column_expr, option_expr) @@ -54,16 +75,16 @@ FROM foo; taos> select _flow, _fhigh, _frowts, forecast(i32) from foo; _flow | _fhigh | _frowts | forecast(i32) | ======================================================================================== - 10.5286684 | 41.8038254 | 2020-01-01 00:01:35.001 | 26 | - -21.9861946 | 83.3938904 | 2020-01-01 00:01:36.001 | 30 | - -78.5686035 | 144.6729126 | 2020-01-01 00:01:37.001 | 33 | - -154.9797363 | 230.3057709 | 2020-01-01 00:01:38.001 | 37 | - -253.9852905 | 337.6083984 | 2020-01-01 00:01:39.001 | 41 | - -375.7857971 | 466.4594727 | 2020-01-01 00:01:40.001 | 45 | - -514.8043823 | 622.4426270 | 2020-01-01 00:01:41.001 | 53 | - -680.6343994 | 796.2861328 | 2020-01-01 00:01:42.001 | 57 | - -868.4956665 | 992.8603516 | 2020-01-01 00:01:43.001 | 62 | - -1076.1566162 | 1214.4498291 | 2020-01-01 00:01:44.001 | 69 | + 10.5286684 | 41.8038254 | 2020-01-01 00:01:35.000 | 26 | + -21.9861946 | 83.3938904 | 2020-01-01 00:01:36.000 | 30 | + -78.5686035 | 144.6729126 | 2020-01-01 00:01:37.000 | 33 | + -154.9797363 | 230.3057709 | 2020-01-01 00:01:38.000 | 37 | + -253.9852905 | 337.6083984 | 2020-01-01 00:01:39.000 | 41 | + -375.7857971 | 466.4594727 | 2020-01-01 00:01:40.000 | 45 | + -514.8043823 | 622.4426270 | 2020-01-01 00:01:41.000 | 53 | + -680.6343994 | 796.2861328 | 2020-01-01 00:01:42.000 | 57 | + -868.4956665 | 992.8603516 | 2020-01-01 00:01:43.000 | 62 | + -1076.1566162 | 1214.4498291 | 2020-01-01 00:01:44.000 | 69 | ```