CCF-2017 | 2017 CCF 大数据竞赛 : 精准室内定位赛源码,TOP100
kandi X-RAY | CCF-2017 Summary
kandi X-RAY | CCF-2017 Summary
CCF-2017 is a Python library. CCF-2017 has no bugs, it has no vulnerabilities and it has low support. However CCF-2017 build file is not available. You can download it from GitHub.
2017 CCF 大数据竞赛 : 精准室内定位赛源码,TOP100 / 2845队
2017 CCF 大数据竞赛 : 精准室内定位赛源码,TOP100 / 2845队
Support
Quality
Security
License
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Support
CCF-2017 has a low active ecosystem.
It has 16 star(s) with 7 fork(s). There are 1 watchers for this library.
It had no major release in the last 6 months.
CCF-2017 has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of CCF-2017 is current.
Quality
CCF-2017 has no bugs reported.
Security
CCF-2017 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
CCF-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.
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CCF-2017 releases are not available. You will need to build from source code and install.
CCF-2017 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 CCF-2017 and discovered the below as its top functions. This is intended to give you an instant insight into CCF-2017 implemented functionality, and help decide if they suit your requirements.
- Create parameters for xgb
- Returns a pd Series where the item is the same
- Sort the wifi information
- Performs a quick sort operation
- Calculate wifi info
- Get vote value
- Performs a vote on a list of result_list
- Get LGB model
- Calculate open source and test strength
- Get final prediction
- Split labels into numpy arrays
- Returns a pd Series where the first item is the same
- Get wifi weights
- Calculate the area of the area
- Calculate the Euler coefficient
- Calculates the manhattan distance
- Count the number of wifi characters
Get all kandi verified functions for this library.
CCF-2017 Key Features
No Key Features are available at this moment for CCF-2017.
CCF-2017 Examples and Code Snippets
No Code Snippets are available at this moment for CCF-2017.
Community Discussions
No Community Discussions are available at this moment for CCF-2017.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install CCF-2017
You can download it from GitHub.
You can use CCF-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.
You can use CCF-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 .
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