TianChi_CaiNiao_Season2 | 天池菜鸟-需求预测与分仓规划第二赛季代码
kandi X-RAY | TianChi_CaiNiao_Season2 Summary
kandi X-RAY | TianChi_CaiNiao_Season2 Summary
TianChi_CaiNiao_Season2 is a Java library. TianChi_CaiNiao_Season2 has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.
天池菜鸟-需求预测与分仓规划第二赛季代码
天池菜鸟-需求预测与分仓规划第二赛季代码
Support
Quality
Security
License
Reuse
Support
TianChi_CaiNiao_Season2 has a low active ecosystem.
It has 31 star(s) with 25 fork(s). There are 3 watchers for this library.
It had no major release in the last 6 months.
There are 1 open issues and 1 have been closed. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of TianChi_CaiNiao_Season2 is current.
Quality
TianChi_CaiNiao_Season2 has 0 bugs and 0 code smells.
Security
TianChi_CaiNiao_Season2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
TianChi_CaiNiao_Season2 code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
TianChi_CaiNiao_Season2 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
TianChi_CaiNiao_Season2 releases are not available. You will need to build from source code and install.
Build file is available. You can build the component from source.
TianChi_CaiNiao_Season2 saves you 2694 person hours of effort in developing the same functionality from scratch.
It has 5840 lines of code, 238 functions and 36 files.
It has medium code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed TianChi_CaiNiao_Season2 and discovered the below as its top functions. This is intended to give you an instant insight into TianChi_CaiNiao_Season2 implemented functionality, and help decide if they suit your requirements.
- Map a record to a task .
- Build mapred .
- Parses the configuration .
- Get the best split
- Create a tree .
- Fits the stages of training features
- Fits the tree for a prediction .
- Calculates the percentile value based on the sample_weight .
- Substract a feature .
- Updates the statistics in the terminal region .
Get all kandi verified functions for this library.
TianChi_CaiNiao_Season2 Key Features
No Key Features are available at this moment for TianChi_CaiNiao_Season2.
TianChi_CaiNiao_Season2 Examples and Code Snippets
No Code Snippets are available at this moment for TianChi_CaiNiao_Season2.
Community Discussions
No Community Discussions are available at this moment for TianChi_CaiNiao_Season2.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install TianChi_CaiNiao_Season2
You can download it from GitHub.
You can use TianChi_CaiNiao_Season2 like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the TianChi_CaiNiao_Season2 component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
You can use TianChi_CaiNiao_Season2 like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the TianChi_CaiNiao_Season2 component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .
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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