ml_logger | A logger , server and visualization dashboard for ML projects | Dashboard library

by geyang Python Version: v0.8.83 License: Non-SPDX

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | ml_logger Summary

ml_logger is a Python library typically used in Analytics, Dashboard, Docker, Grafana applications. ml_logger has no bugs, it has no vulnerabilities, it has build file available and it has low support. However ml_logger has a Non-SPDX License. You can download it from GitHub.

A logger, server and visualization dashboard for ML projects

Support

Quality

Security

License

Reuse

Support

ml_logger has a low active ecosystem.

It has 167 star(s) with 17 fork(s). There are 9 watchers for this library.

It had no major release in the last 12 months.

There are 5 open issues and 12 have been closed. On average issues are closed in 97 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of ml_logger is v0.8.83

Quality

ml_logger has no bugs reported.

Security

ml_logger has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

ml_logger has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

ml_logger releases are available to install and integrate.

Build file is available. You can build the component from source.

Installation instructions are not available. Examples and code snippets are available.

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ml_logger Key Features

No Key Features are available at this moment for ml_logger.

ml_logger Examples and Code Snippets

No Code Snippets are available at this moment for ml_logger.

Community Discussions

Trending Discussions on ml_logger

Why does unpacking give a list instead of a tuple in Python?

QUESTION

Why does unpacking give a list instead of a tuple in Python?

Asked 2020-Apr-26 at 02:25

This is really strange to me, because by default I thought unpacking gives tuples.

In my case I want to use the prefix keys for caching, so a tuple is preferred.

...

ANSWER

Answered 2020-Apr-25 at 17:46

This issue was mentioned in that PEP (PEP 3132):

After a short discussion on the python-3000 list [1], the PEP was accepted by Guido in its current form. Possible changes discussed were: [...]

Try to give the starred target the same type as the source iterable, for example, b in a, *b = 'hello' would be assigned the string 'ello'. This may seem nice, but is impossible to get right consistently with all iterables.

Make the starred target a tuple instead of a list. This would be consistent with a function's *args, but make further processing of the result harder.

But as you can see, these features currently are not implemented:

Source https://stackoverflow.com/questions/61428816

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install ml_logger

You can download it from GitHub.
You can use ml_logger like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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