Nauka | Nauka is a collection of utilities | Machine Learning library

by obilaniu Python Version: 0.0.15 License: MIT

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

kandi X-RAY | Nauka Summary

Nauka is a Python library typically used in Institutions, Learning, Education, Artificial Intelligence, Machine Learning applications. Nauka has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install Nauka' or download it from GitLab, GitHub, PyPI.

Nauka is a collection of utilities for scientific experiments.

Support

Quality

Security

License

Reuse

Support

Nauka has a low active ecosystem.

It has 15 star(s) with 0 fork(s). There are 3 watchers for this library.

It had no major release in the last 12 months.

Nauka has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Nauka is 0.0.15

Quality

Nauka has 0 bugs and 0 code smells.

Security

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

Nauka code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

Nauka 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

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

Deployable package is available in PyPI.

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

It has 1177 lines of code, 158 functions and 20 files.

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

Top functions reviewed by kandi - BETA

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

Roll back to previous snapshot
Initialize from scratch
Symlink the target
Mark the latest link
Remove all snapshots from the snapshot
Check if the given name is an integer
Removes a symbolic link
List all the snapshot directories in the given path
Return a snapshot of the experiment
Create a directory
Dump the configuration to a file
Construct a PropertyLR from a list of specs
Create a LR schedule from a Spec
Synthesize the version py script
Return the root directory of the git repo
Creates the workDir for the given experiment
Generate ISO8601 timestamp
Determine if git is clean
Invoke a command
Perform a single step
Checks if the new metric is greater than threshold
Return the git version
Return the latest snapshot number
Generate a random seed
Set the state of a password
Set the state of the given password

Get all kandi verified functions for this library.

Nauka Key Features

No Key Features are available at this moment for Nauka.

Nauka Examples and Code Snippets

No Code Snippets are available at this moment for Nauka.

Community Discussions

Trending Discussions on Nauka

Bootstrap navbar not expanding on mobile

QUESTION

Bootstrap navbar not expanding on mobile

Asked 2021-May-19 at 09:15

I have an issue with bootstrap navbar. It's not expanding on mobile after click on hamburger icon. Do you have any idea how to fix it? Below is my code and link to my page

http://blog.medytacja.net.pl/navbartest.html

I use bootstrap 4.3.1. I checked links and it work correctly. I have no idea what happened here.

...

ANSWER

Answered 2021-May-19 at 09:15

You have to call your jQuery before your bootstrap.min.js because Bootstrap is using jQuery attributes.

Source https://stackoverflow.com/questions/67584435

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

Vulnerabilities

No vulnerabilities reported

Install Nauka

You can install using 'pip install Nauka' or download it from GitLab, GitHub, PyPI.
You can use Nauka 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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