oLMpics | Allen Institute of Artificial Intelligence | Artificial Intelligence library

by alontalmor Python Version: Current License: No License

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

kandi X-RAY | oLMpics Summary

oLMpics is a Python library typically used in Artificial Intelligence applications. oLMpics has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

This work was performed at The Allen Institute of Artificial Intelligence.

Support

Quality

Security

License

Reuse

Support

oLMpics has a low active ecosystem.

It has 43 star(s) with 4 fork(s). There are 7 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of oLMpics is current.

Quality

oLMpics has 0 bugs and 0 code smells.

Security

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

oLMpics code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

oLMpics does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

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

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

Installation instructions, examples and code snippets are available.

oLMpics saves you 435 person hours of effort in developing the same functionality from scratch.

It has 1029 lines of code, 40 functions and 11 files.

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

Top functions reviewed by kandi - BETA

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

Performs a forward pass through the model
Integral function

Get all kandi verified functions for this library.

oLMpics Key Features

No Key Features are available at this moment for oLMpics.

oLMpics Examples and Code Snippets

No Code Snippets are available at this moment for oLMpics.

Community Discussions

Trending Discussions on oLMpics

ValueError: Length mismatch: Expected axis has 2 elements, new values have 3 elements

QUESTION

ValueError: Length mismatch: Expected axis has 2 elements, new values have 3 elements

Asked 2020-Aug-30 at 16:36

This is my code that I plan to use for creating a pie chart.

...

ANSWER

Answered 2020-Aug-30 at 14:40

In your code you set Country as Index and in this line

Source https://stackoverflow.com/questions/63656186

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

Vulnerabilities

No vulnerabilities reported

Install oLMpics

First, clone the repository:.
First, clone the repository: git clone https://github.com/alontalmor/oLMpics.git
Change your directory to where you cloned the files: cd oLMpics
Create a virtual environment with Python 3.6 or above: virtualenv venv --python=python3.7 (or python3.7 -m venv venv or conda create -n olmpics python=3.7)
Activate the virtual environment. You will need to activate the venv environment in each terminal in which you want to use oLMpics. source venv/bin/activate (or source venv/bin/activate.csh or conda activate olmpics)
Install the required dependencies: pip install -r requirements.txt

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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