BDCI-2018-Supply-Chain-Demand-Forecast | 初赛Rank1 复赛Rank1 2018 CCF 大数据与计算智能大赛供应链需求预测 Miracccccccle

by yuxiaowww Python Version: Current License: No License

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

kandi X-RAY | BDCI-2018-Supply-Chain-Demand-Forecast Summary

BDCI-2018-Supply-Chain-Demand-Forecast is a Python library. BDCI-2018-Supply-Chain-Demand-Forecast has no bugs, it has no vulnerabilities and it has low support. However BDCI-2018-Supply-Chain-Demand-Forecast build file is not available. You can download it from GitHub.

初赛Rank1 复赛Rank1 2018 CCF 大数据与计算智能大赛供应链需求预测 Miracccccccle

Support

Quality

Security

License

Reuse

Support

BDCI-2018-Supply-Chain-Demand-Forecast has a low active ecosystem.

It has 128 star(s) with 64 fork(s). There are 9 watchers for this library.

It had no major release in the last 6 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 55 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of BDCI-2018-Supply-Chain-Demand-Forecast is current.

Quality

BDCI-2018-Supply-Chain-Demand-Forecast has no bugs reported.

Security

BDCI-2018-Supply-Chain-Demand-Forecast has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

BDCI-2018-Supply-Chain-Demand-Forecast 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

BDCI-2018-Supply-Chain-Demand-Forecast releases are not available. You will need to build from source code and install.

BDCI-2018-Supply-Chain-Demand-Forecast 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.

Top functions reviewed by kandi - BETA

kandi has reviewed BDCI-2018-Supply-Chain-Demand-Forecast and discovered the below as its top functions. This is intended to give you an instant insight into BDCI-2018-Supply-Chain-Demand-Forecast implemented functionality, and help decide if they suit your requirements.

Merge f1 and sales
Generate feature data
Linear regression
Data is a pandas dataframe
Creates a pandas data
Split data into train1
Creates a pandas dataframe with a label for each item
Compute the LGF model
Load data from the salesale csv file

Get all kandi verified functions for this library.

BDCI-2018-Supply-Chain-Demand-Forecast Key Features

No Key Features are available at this moment for BDCI-2018-Supply-Chain-Demand-Forecast.

BDCI-2018-Supply-Chain-Demand-Forecast Examples and Code Snippets

No Code Snippets are available at this moment for BDCI-2018-Supply-Chain-Demand-Forecast.

Community Discussions

No Community Discussions are available at this moment for BDCI-2018-Supply-Chain-Demand-Forecast.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install BDCI-2018-Supply-Chain-Demand-Forecast

You can download it from GitHub.
You can use BDCI-2018-Supply-Chain-Demand-Forecast 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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