TIANCHI_XUELANG_AI_2 | 天池雪浪布匹瑕疵检测，复赛线上746，排名14/2403

by maozezhong Python Version: Current License: No License

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

kandi X-RAY | TIANCHI_XUELANG_AI_2 Summary

TIANCHI_XUELANG_AI_2 is a Python library. TIANCHI_XUELANG_AI_2 has no vulnerabilities and it has low support. However TIANCHI_XUELANG_AI_2 has 1 bugs and it build file is not available. You can download it from GitHub.

天池雪浪布匹瑕疵检测，复赛线上746，排名14/2403

Support

Quality

Security

License

Reuse

Support

TIANCHI_XUELANG_AI_2 has a low active ecosystem.

It has 121 star(s) with 59 fork(s). There are 6 watchers for this library.

It had no major release in the last 6 months.

There are 4 open issues and 5 have been closed. On average issues are closed in 11 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of TIANCHI_XUELANG_AI_2 is current.

Quality

TIANCHI_XUELANG_AI_2 has 1 bugs (0 blocker, 0 critical, 1 major, 0 minor) and 52 code smells.

Security

TIANCHI_XUELANG_AI_2 has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

TIANCHI_XUELANG_AI_2 code analysis shows 0 unresolved vulnerabilities.

There are 9 security hotspots that need review.

License

TIANCHI_XUELANG_AI_2 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_XUELANG_AI_2 releases are not available. You will need to build from source code and install.

TIANCHI_XUELANG_AI_2 has no build file. You will be need to create the build yourself to build the component from source.

TIANCHI_XUELANG_AI_2 saves you 342 person hours of effort in developing the same functionality from scratch.

It has 818 lines of code, 35 functions and 11 files.

It has high code complexity. Code complexity directly impacts maintainability of the code.

Top functions reviewed by kandi - BETA

kandi has reviewed TIANCHI_XUELANG_AI_2 and discovered the below as its top functions. This is intended to give you an instant insight into TIANCHI_XUELANG_AI_2 implemented functionality, and help decide if they suit your requirements.

Predict the model
Builds a trained model
Adds a new last layer to the model
Get the indices of the classes in the given directory
Calculate mycrossentropy
Train model
Get callbacks
Splits the xml files into the target name
Extract the name from an XML file
Split files into train_valid_root
Copies files from source_root to target XML root

Get all kandi verified functions for this library.

TIANCHI_XUELANG_AI_2 Key Features

No Key Features are available at this moment for TIANCHI_XUELANG_AI_2.

TIANCHI_XUELANG_AI_2 Examples and Code Snippets

No Code Snippets are available at this moment for TIANCHI_XUELANG_AI_2.

Community Discussions

No Community Discussions are available at this moment for TIANCHI_XUELANG_AI_2.Refer to stack overflow page for discussions.

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

Vulnerabilities

No vulnerabilities reported

Install TIANCHI_XUELANG_AI_2

You can download it from GitHub.
You can use TIANCHI_XUELANG_AI_2 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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