time-series

Hi,

first thanks for this awesome software. But I have some trouble and I don't know how to proceed. First I try to find out what else I could provide for this report to be a good bug report.

First, I use the latest version (v1.14.0) from openSUSE build Service. I know, I should compile it by my self to avoid any other causes for this behavior. But for now I still use this package from there

In our English documentation(https://github.com/taosdata/TDengine/blob/develop/documentation20/en/05.insert/docs.md),

There is a brief introduction of our connectors, however, as we can see in our Chinese documentation(https://github.com/taosdata/TDengin

Feature Request

support an input plugin of the following type:

[[inputs.test]]
  metrics = [
    'weather,state=ny temperature=81.3'
  ]

Proposal:

support the above

Current behavior:

possible through creating a file and using inputs.file or inputs.tail

Desired behavior:

above

Use case: <!-- [Why is this important (helps with prioritizing

it's becoming more time-consuming and error-prone to manually re-test all the demos following internal refactorings and API adjustments.

now that the API is fleshed out a bit, it's possible to test a large amount of code (non-granularly) without having to simulate all interactions via Puppeteer or similar.

a lot of code can already be regression-tested by simply running all the demos and val

Is your feature request related to a problem? Please describe.
So I'm working on a product that should allow schema-less ingestion out of the box. So my default ingestion method is via the influx line protocol.

But my challenge is that I also need to add indexes to some of the tags (symbols) after table creation. The problem is that the Influx Line protocol holds a lock to the table makin

From the Aug 27 developer meeting.

We need to ensure that the following compositors work for multivariate forecasters, in descending order of priority

• pipeline compositors, TransformedTargetForecaster, ForecastingPipeline
• tuning compositors, ForecastingGridSearchCV, ForecastingRandomizedSearchCV
• reducers, all in the _reduce module
• multiplexing, `MultiplexFo

提问题？
请把问题现象、相关日志、初步排查结果写清楚，即提供尽量多的线索，这样方便我们定位问题。

提建议？
请写明白建议原因，即为何有此建议。

提修复PR？
请说明为何做此修改，需要做好测试。

提Feature？
建议先将想法提出，不着急写代码，与社区同道沟通，大家觉得OK再做代码实现

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另外，我们是在做开源软件，不是服务于您的企业，做您的乙方，您一分钱没付，就不要颐指气使了，认同我们这个社区，则参与进来，不认同，就不参与，谢谢理解

Use case:

1.) A user may want to backup all tables but no metadata like users, privileges, etc. without explicitly defining each table inside the CREATE SNAPSHOT statement.

2.) A user may want to transfer users & privileges, custom analyzers or user-defined-functions from one cluster to another without backing up a complete cluster including all data (tables).

*Feature description

Is your feature request related to a current problem? Please describe.
In order to create an outlier detection with Prophet, i need the full dataframe that's return Prophet

Describe proposed solution
Remove the hardcoded ["yhat"] from Prophet.predict add a variable asking to return just yhat or all the predictions: 'yhat_lower', 'yhat_upper', etc..
https://unit8co.github.io/d

Description

(A clear and concise description of what the feature is.)

• util.cumsum implementation https://github.com/awslabs/gluon-ts/blob/master/src/gluonts/mx/util.py#L326 does not scale under mx.ndarray
• cumsum is 2-5 times slower than nd.cumsum under both mx.sym and mx.ndarray, and even fails for large 4-dim input

Sample test

Code

# import ...
def test_

Hi, Thanks for the awesome library!

So I am running a Kmeans on lots of different datasets, which all have roughly four shapes, so I initialize with those shapes and it works well, except for just a few times. There are a few datasets that look different enough that I end up with empty clusters and the algorithm just hangs ("Resumed because of empty cluster" again and again).

I conceptually