JDD-Sales-Prediction-Contest | 京东ＪＤＤ大数据比赛解决方案

by ChuanyuXue Python Version: Current License: No License

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

kandi X-RAY | JDD-Sales-Prediction-Contest Summary

JDD-Sales-Prediction-Contest is a Python library. JDD-Sales-Prediction-Contest has no bugs, it has no vulnerabilities and it has low support. However JDD-Sales-Prediction-Contest build file is not available. You can download it from GitHub.

京东ＪＤＤ大数据比赛解决方案(baseline)

Support

Quality

Security

License

Reuse

Support

JDD-Sales-Prediction-Contest has a low active ecosystem.

It has 18 star(s) with 6 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

JDD-Sales-Prediction-Contest has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of JDD-Sales-Prediction-Contest is current.

Quality

JDD-Sales-Prediction-Contest has 0 bugs and 0 code smells.

Security

JDD-Sales-Prediction-Contest has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

JDD-Sales-Prediction-Contest code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

JDD-Sales-Prediction-Contest 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

JDD-Sales-Prediction-Contest releases are not available. You will need to build from source code and install.

JDD-Sales-Prediction-Contest has no build file. You will be need to create the build yourself to build the component from source.

JDD-Sales-Prediction-Contest saves you 123 person hours of effort in developing the same functionality from scratch.

It has 311 lines of code, 6 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 JDD-Sales-Prediction-Contest and discovered the below as its top functions. This is intended to give you an instant insight into JDD-Sales-Prediction-Contest implemented functionality, and help decide if they suit your requirements.

Compute the objective function .
Compute huber - nearest approximation
Compute objective function .
Calculate the log of the objective function .
Evaluate the WMAEEEval .

Get all kandi verified functions for this library.

JDD-Sales-Prediction-Contest Key Features

No Key Features are available at this moment for JDD-Sales-Prediction-Contest.

JDD-Sales-Prediction-Contest Examples and Code Snippets

No Code Snippets are available at this moment for JDD-Sales-Prediction-Contest.

Community Discussions

No Community Discussions are available at this moment for JDD-Sales-Prediction-Contest.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install JDD-Sales-Prediction-Contest

You can download it from GitHub.
You can use JDD-Sales-Prediction-Contest 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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