cuad | SQUAD (NeurIPS 2021) | Machine Learning library

by TheAtticusProject Python Version: Current License: No License

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

kandi X-RAY | cuad Summary

cuad is a Python library typically used in Artificial Intelligence, Machine Learning, Bert applications. cuad has no bugs, it has no vulnerabilities and it has low support. However cuad build file is not available. You can download it from GitHub.

SQUAD (NeurIPS 2021)

Support

Quality

Security

License

Reuse

Support

cuad has a low active ecosystem.

It has 301 star(s) with 95 fork(s). There are 13 watchers for this library.

It had no major release in the last 6 months.

There are 7 open issues and 7 have been closed. On average issues are closed in 29 days. There are 2 open pull requests and 0 closed requests.

It has a neutral sentiment in the developer community.

The latest version of cuad is current.

Quality

cuad has 0 bugs and 0 code smells.

Security

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

cuad code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

cuad 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

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

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

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

It has 1369 lines of code, 46 functions and 4 files.

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

Top functions reviewed by kandi - BETA

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

Train the model
Evaluate a model
Load and cache examples
Returns balanced dataset
Calculate accuracy
Calculate the ARPR
Process a precomputed precision
Calculates the precondition for the recall
Calculate the best scores for each prediction
Find the best similarity score for the given preds
Fetches all the master files for each year
Generate all master files from the master
Get answers from test json
Returns a dictionary of the questions in the csv file

Get all kandi verified functions for this library.

cuad Key Features

No Key Features are available at this moment for cuad.

cuad Examples and Code Snippets

No Code Snippets are available at this moment for cuad.

Community Discussions

Trending Discussions on cuad

Resubmitting form data with Flask and Jquery

QUESTION

Resubmitting form data with Flask and Jquery

Asked 2021-May-12 at 20:48

I'm developing a dice app with Flask, (https://astrodados.herokuapp.com/juego) and I want to reroll the dice with the same form data (like a number of dice) without refreshing the page. To do so, I'm using Jquery and Ajax. I don't understand why, but I can't get the data, so I get the error "TypeError: int() argument must be a string, a bytes-like object or a number, not 'NoneType'". When I submit the form in juego.html, it sends me to resjuego.html and everything goes OK. But when I click on the reroll button ('#re_tirada') in resjuego.html, Jinja shows me the error. I don't see what I'm doing wrong. I have seen tutorials and tried a lot of different ways of coding this, but I can't get the data.

I'm sending the form data with Ajax in juego.html:

...

ANSWER

Answered 2021-May-12 at 20:48

You may not need to resubmit the form at all.
In this example, the form data is transmitted once and saved in the session cookie. From then on, these will be sent to the server every time a transmission takes place.

Source https://stackoverflow.com/questions/67477040

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

Vulnerabilities

No vulnerabilities reported

Install cuad

You can download it from GitHub.
You can use cuad 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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