MLOS | Data Science powered infrastructure and methodology

by microsoft Python Version: v0.1.0 License: MIT

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | MLOS Summary

MLOS is a Python library typically used in Institutions, Learning, Education applications. MLOS has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However MLOS build file is not available. You can install using 'pip install MLOS' or download it from GitHub, PyPI.

MLOS is a Data Science powered infrastructure and methodology to democratize and automate Performance Engineering. MLOS enables continuous, instance-based, robust, and trackable systems optimization.

Support

Quality

Security

License

Reuse

Support

MLOS has a low active ecosystem.

It has 89 star(s) with 47 fork(s). There are 12 watchers for this library.

It had no major release in the last 6 months.

There are 24 open issues and 95 have been closed. On average issues are closed in 758 days. There are 4 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of MLOS is v0.1.0

Quality

MLOS has 0 bugs and 0 code smells.

Security

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

MLOS code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

MLOS is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

MLOS releases are not available. You will need to build from source code and install.

Deployable package is available in PyPI.

MLOS has no build file. You will be need to create the build yourself to build the component from source.

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

It has 15327 lines of code, 1143 functions and 403 files.

It has medium code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed MLOS and discovered the below as its top functions. This is intended to give you an instant insight into MLOS implemented functionality, and help decide if they suit your requirements.

Evaluate the optimizer .
Get the state of the optimizer .
Creates a composite dimension along the other .
Run a single iteration of the experiments .
Update the plot options .
Convert the object into a DynamicDimension object .
Initialize the estimator .
Compute the goodness of fit .
Write the optimizer configuration to disk .
Return a dict representation of an object .

Get all kandi verified functions for this library.

MLOS Key Features

No Key Features are available at this moment for MLOS.

MLOS Examples and Code Snippets

No Code Snippets are available at this moment for MLOS.

Community Discussions

Trending Discussions on MLOS

FiveM CFX Server GTA FiveM weird rendering bugs

Centos docker-compose is showing exit code 0 but still it doesn't run

QUESTION

FiveM CFX Server GTA FiveM weird rendering bugs

Asked 2022-Mar-30 at 15:32

I just opened my server to beta and some people reported, that there are some parts of the map that doesn't get rendered correctly. I updated the game build and the server artifacts + disabled all mods and MLOs, but i still have the problem that not everything gets rendered like it should be. F.E this part of the map. I even disabled all ressources but i still have this issue...

I don't know whats causing the problem...

...

ANSWER

Answered 2022-Mar-30 at 15:32

https://github.com/Bob74/bob74_ipl

This resource will fix texture issues on your fiveM Server!

Source https://stackoverflow.com/questions/71481682

QUESTION

Centos docker-compose is showing exit code 0 but still it doesn't run

Asked 2020-May-24 at 07:53

It's a simple docker-compose file, which should create a centos image up and running with exposed port 5000 and dedicated volume storage.

...

ANSWER

Answered 2020-May-24 at 07:53

You need to add an entry point to run. Otherwise docker-compose will create your image and exit.

As an example, if you have some script, you can put

CMD ["./myScript.sh"]

At the end of your Dockerfile.

Source https://stackoverflow.com/questions/61982530

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

Vulnerabilities

No vulnerabilities reported

Install MLOS

The easiest way to get started with MLOS is to just the Python package. You can find installation instructions in the Prerequisites: Python Quickstart.
MLOS supports Windows and Linux build environments.
Prerequisites
Build

Support

Additional overview documentation is available in the documentation tree. Individual components may also include more detailed documentation in their respective subdirectories.

Find more information at: