tensorrec_servable

by bluemmb Python Version: Current License: Non-SPDX

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

kandi X-RAY | tensorrec_servable Summary

tensorrec_servable is a Python library. tensorrec_servable has no bugs, it has no vulnerabilities and it has low support. However tensorrec_servable build file is not available and it has a Non-SPDX License. You can download it from GitLab.

tensorrec_servable

Support

Quality

Security

License

Reuse

Support

tensorrec_servable has a low active ecosystem.

It has 0 star(s) with 0 fork(s). There are no watchers for this library.

It had no major release in the last 6 months.

tensorrec_servable has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorrec_servable is current.

Quality

tensorrec_servable has no bugs reported.

Security

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

License

tensorrec_servable has a Non-SPDX License.

Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

Reuse

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

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

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tensorrec_servable Key Features

No Key Features are available at this moment for tensorrec_servable.

tensorrec_servable Examples and Code Snippets

No Code Snippets are available at this moment for tensorrec_servable.

Community Discussions

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

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

Vulnerabilities

No vulnerabilities reported

Install tensorrec_servable

You can download it from GitLab.
You can use tensorrec_servable 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 GitLab. If you have any questions check and ask questions on community page Stack Overflow .

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