learning2rank | Learning to rank with neuralnet - RankNet and ListNet | Awesome List library

by shiba24 Python Version: Current License: No License

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

kandi X-RAY | learning2rank Summary

learning2rank is a Python library typically used in Awesome, Awesome List, Pytorch applications. learning2rank has no bugs, it has no vulnerabilities and it has low support. However learning2rank build file is not available. You can download it from GitHub.

Learning to rank with neuralnet - RankNet and ListNet

Support

Quality

Security

License

Reuse

Support

learning2rank has a low active ecosystem.

It has 410 star(s) with 127 fork(s). There are 20 watchers for this library.

It had no major release in the last 6 months.

There are 10 open issues and 11 have been closed. On average issues are closed in 128 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of learning2rank is current.

Quality

learning2rank has 0 bugs and 0 code smells.

Security

learning2rank has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

learning2rank code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

learning2rank 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

learning2rank releases are not available. You will need to build from source code and install.

learning2rank 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.

learning2rank saves you 149 person hours of effort in developing the same functionality from scratch.

It has 373 lines of code, 35 functions and 10 files.

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

Top functions reviewed by kandi - BETA

kandi has reviewed learning2rank and discovered the below as its top functions. This is intended to give you an instant insight into learning2rank implemented functionality, and help decide if they suit your requirements.

Train the model
Train the model
Calculate the DCC of divergence
Split data into train and validation data
Saves the model to a file
Predict targets
Predict the model
Calculate the cost of a list
Compute the top k probability for a given vector
Train model

Get all kandi verified functions for this library.

learning2rank Key Features

No Key Features are available at this moment for learning2rank.

learning2rank Examples and Code Snippets

No Code Snippets are available at this moment for learning2rank.

Community Discussions

Trending Discussions on Awesome List

Is ESLint a Vim plugin?

R Extending each list level by new elements

QUESTION

Is ESLint a Vim plugin?

Asked 2022-Feb-12 at 01:35

Vim Awesome lists ESLint as a plugin: https://vimawesome.com/plugin/eslint. However, also on that page it says "...your plugins (and ESLint) are ..." implying ESLint is not a Vim plugin.

I am trying to work out how to apply ESLint to JavaScript files I am writing in Vim. I would like to do so (at least initially) without any plugins. I think it might help me to achieve this if I knew whether or not ESLint is a Vim plugin or not.

...

ANSWER

Answered 2022-Feb-12 at 01:35

No. It is a general linter for javascript. See https://eslint.org/

If you want to use ESLint in Vim, you can use a vim plugin (such as ALE or the eslint vim plugin) to help you. Or you can use the command line interface eslint offers if you don't want to use plugins.

Source https://stackoverflow.com/questions/71087803

QUESTION

R Extending each list level by new elements

Asked 2021-Apr-12 at 14:41

I'm looking for a way to automatically add new list elements/levels to an existing list:

my real-life use case has several thousand elements to add, so the manual example below for adding two elements is not feasible anymore,
I need a list because that's the format expected by an API I'm trying to access.

Example:

...

ANSWER

Answered 2021-Apr-12 at 14:41

Iterate over names using map or using the same arguments replace map with lapply in which case no packages are needed.

Source https://stackoverflow.com/questions/67060194

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

Vulnerabilities

No vulnerabilities reported

Install learning2rank

You can download it from GitHub.
You can use learning2rank 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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