IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com | IJCAI2017 天池大赛-客流量预测 rank

by chenkkkk Python Version: Current License: No License

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kandi X-RAY | IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com Summary

IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com is a Python library. IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com has no bugs, it has no vulnerabilities and it has low support. However IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com build file is not available. You can download it from GitHub.

IJCAI2017 天池大赛-客流量预测 rank 9th

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IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com has a low active ecosystem.

It has 5 star(s) with 5 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com is current.

Quality

IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com has no bugs reported.

Security

IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com 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.

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IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com releases are not available. You will need to build from source code and install.

IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com 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 IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com and discovered the below as its top functions. This is intended to give you an instant insight into IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com implemented functionality, and help decide if they suit your requirements.

extract features from holiday
Add date feature to dataframe .
predict data
Calculates the minimum value of a dataframe .
Train data from a CSV file
Calculate the rank of no work day .
Calculate the rank of no work day .
split train and test data
return a dataframe of the product shop
Check if d is a no work day .

Get all kandi verified functions for this library.

IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com Key Features

No Key Features are available at this moment for IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com.

IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com Examples and Code Snippets

No Code Snippets are available at this moment for IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com.

Community Discussions

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

Vulnerabilities

No vulnerabilities reported

Install IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com

You can download it from GitHub.
You can use IJCAI2017-Customer-Flow-Forecasts-on-Koubei.com 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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