The PR is #4008

Last time I tried to get this working, the issue was with getting python.d
to properly load the Yoctopuce modules. As far as I could tell at the time, the dynamic import thing works, it's just an issue with getting Python to properly import modules that aren't in system.path, but I didn't look very deep beyond that. Part of the problem there is that the Yoctopuce Python

Hi fellows,

The first online meetup hosted by EMQ and TDengine will be held at 20:00-21:30 on Aug. 24 (this Thursday) .

We will use the Tencent meeting software. The online link will be shared with the attendees shortly before the start time of the event.

If you have any issues, please contact "小T" via wechat (wechat ID: tdengine).

See the poster for how to participate.

![线上Meetup-

Feature Request

telegraf (v1.14.3) currently doesn't sort the various loaded inputs, aggregators, processors, and outputs. This makes troubleshooting more onerous.

Proposal:

When Telegraf starts, the modules loaded should be logged in a sorted fashion.

This should be applied to all loads:

• inputs
• aggregators
• outputs
• inputs

Current behavior:

5 successive relo

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提建议？
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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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QuestDB implements regex string match with the operators ~= and !~. However, LIKE is not implemented.

Describe the solution you'd like
Implement LIKE such that
column LIKE pattern becomes ~=(column, pattern)
NOT column LIKE pattern becomes !~(column, pattern)

Is your feature request related to a problem? Please describe.

• Time series forest

Describe the solution you'd like

• Replace loops with joblib parallelized computations or numba.

Description

Now that we have distributions like the Beta distribution, it only makes sense to create a Min-Max Scaler to map the input into the right input domain (support) for the distributions.

It would need to ne something like https://gluon-ts.mxnet.io/api/gluonts/gluonts.block.scaler.html?highlight=meanscaler#gluonts.block.scaler.MeanScaler the MeanScaler.

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