JDD-2017 | JDD-2017 京东金融大数据竞赛-销量预测-15th/889队

by batch-norm Python Version: Current License: No License

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

kandi X-RAY | JDD-2017 Summary

JDD-2017 is a Python library. JDD-2017 has no bugs, it has no vulnerabilities and it has low support. However JDD-2017 build file is not available. You can download it from GitHub.

JDD-2017 京东金融大数据竞赛-销量预测-15th/889队

Support

Quality

Security

License

Reuse

Support

JDD-2017 has a low active ecosystem.

It has 31 star(s) with 13 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

There are 2 open issues and 0 have been closed. On average issues are closed in 695 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of JDD-2017 is current.

Quality

JDD-2017 has 0 bugs and 0 code smells.

Security

JDD-2017 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

JDD-2017 code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

JDD-2017 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-2017 releases are not available. You will need to build from source code and install.

JDD-2017 has no build file. You will be need to create the build yourself to build the component from source.

JDD-2017 saves you 388 person hours of effort in developing the same functionality from scratch.

It has 924 lines of code, 11 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-2017 and discovered the below as its top functions. This is intended to give you an instant insight into JDD-2017 implemented functionality, and help decide if they suit your requirements.

Calculates the increase rate for the given month .
Calculate back - order decay rate .
Calculate the increase rate for the BackAmount
Calculates sales rate increase rate
Calculates real sales rate increase rate .
Calculate the weight of the log - likelihood distribution .
Calculates the divergence of the covariance matrix .
Makes y_1 from y_id
Makes y_2d .

Get all kandi verified functions for this library.

JDD-2017 Key Features

No Key Features are available at this moment for JDD-2017.

JDD-2017 Examples and Code Snippets

No Code Snippets are available at this moment for JDD-2017.

Community Discussions

No Community Discussions are available at this moment for JDD-2017.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install JDD-2017

You can download it from GitHub.
You can use JDD-2017 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 .

Find more information at: