Customer_Flow_Forecasts | IJCAI 2017 Competition

by lytforgood Python Version: Current License: No License

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

kandi X-RAY | Customer_Flow_Forecasts Summary

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

Customer Flow Forecasts on Koubei.com == IJCAI 2017 Competition 背景 Background 随着移动定位服务的流行，阿里巴巴和蚂蚁金服逐渐积累了来自用户和商家的海量线上线下交易数据。蚂蚁金服的O2O平台“口碑”用这些数据为商家提供了包括交易统计，销售分析和销售建议等定制的后端商业智能服务。举例来说，口碑致力于为每个商家提供销售预测。基于预测结果，商家可以优化运营，降低成本，并改善用户体验。.

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Quality

Security

License

Reuse

Support

Customer_Flow_Forecasts has a low active ecosystem.

It has 6 star(s) with 3 fork(s). There are 3 watchers for this library.

It had no major release in the last 6 months.

Customer_Flow_Forecasts has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of Customer_Flow_Forecasts is current.

Quality

Customer_Flow_Forecasts has no bugs reported.

Security

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

License

Customer_Flow_Forecasts 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

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

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

Top functions reviewed by kandi - BETA

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

Generate a list of dates .
Calculates the sum of shop id
write list to file

Get all kandi verified functions for this library.

Customer_Flow_Forecasts Key Features

No Key Features are available at this moment for Customer_Flow_Forecasts.

Customer_Flow_Forecasts Examples and Code Snippets

No Code Snippets are available at this moment for Customer_Flow_Forecasts.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install Customer_Flow_Forecasts

You can download it from GitHub.
You can use Customer_Flow_Forecasts 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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