learning_to_rank | 利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。Use LightGBM to learn ranking, inc | Awesome List library

by jiangnanboy Python Version: Current License: No License

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

kandi X-RAY | learning_to_rank Summary

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

利用lightgbm做(learning to rank)排序学习，包括数据处理、模型训练、模型决策可视化、模型可解释性以及预测等。

Support

Quality

Security

License

Reuse

Support

learning_to_rank has a low active ecosystem.

It has 214 star(s) with 70 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

There are 5 open issues and 1 have been closed. On average issues are closed in 2 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of learning_to_rank is current.

Quality

learning_to_rank has 0 bugs and 0 code smells.

Security

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

learning_to_rank code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

learning_to_rank 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

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

learning_to_rank 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.

learning_to_rank saves you 150 person hours of effort in developing the same functionality from scratch.

It has 375 lines of code, 22 functions and 9 files.

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

Top functions reviewed by kandi - BETA

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

Validate test data
Iterate over the lines in a file
Validate qids against targets
Read a dataset from a source file
Get the groups of the given qids
Calculates the DCG divergence of the given scores
Calculates ideal DAG divergence
Parse a qid token
Process test data
Saves the given group data
Load test data from raw data

Get all kandi verified functions for this library.

learning_to_rank Key Features

No Key Features are available at this moment for learning_to_rank.

learning_to_rank Examples and Code Snippets

No Code Snippets are available at this moment for learning_to_rank.

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 learning_to_rank

You can download it from GitHub.
You can use learning_to_rank 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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