shanghai_transportation | 上海市交通流量时空模式挖掘

by qiangsiwei Python Version: Current License: No License

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

kandi X-RAY | shanghai_transportation Summary

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

shanghai_transportation

Support

Quality

Security

License

Reuse

Support

shanghai_transportation has a low active ecosystem.

It has 41 star(s) with 22 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. On average issues are closed in 1 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of shanghai_transportation is current.

Quality

shanghai_transportation has 0 bugs and 0 code smells.

Security

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

shanghai_transportation code analysis shows 0 unresolved vulnerabilities.

There are 0 security hotspots that need review.

License

shanghai_transportation 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

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

shanghai_transportation 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.

shanghai_transportation saves you 1556 person hours of effort in developing the same functionality from scratch.

It has 3462 lines of code, 228 functions and 45 files.

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

Top functions reviewed by kandi - BETA

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

Calculate Algorithm
The inner product of the covariance matrix
Check if the dimensions are valid
Compute the TTV matrix
Calculate the salsan operator
Projects X onto X
Update A
Update D
Concatenate tensors
Update D_G
Compute TTM matrix
Fold tensor
Compute Hessian decomposition
Return the object s attribute
Convert to a tensor
Compute tensor product matrix
Computes the tensor product of a tensor product matrix
Compute the tm matrix
Draws the gravity model coefatial coordinates
Perform orthogonal orthogonal optimization
Compute Hilbert polynomial decomposition
Setup the package
Draws the gravity model coefatial coef
Update the D matrix
Generate a grid map for the taxiOD
Generates the grid map for the metroometry

Get all kandi verified functions for this library.

shanghai_transportation Key Features

No Key Features are available at this moment for shanghai_transportation.

shanghai_transportation Examples and Code Snippets

No Code Snippets are available at this moment for shanghai_transportation.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install shanghai_transportation

You can download it from GitHub.
You can use shanghai_transportation 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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