tensorboard-easy | A logger that writes in a format , readable by tensorboard

by maxme1 Python Version: 0.2.3 License: MIT

X-Ray Key Features Code Snippets Community Discussions(1)Vulnerabilities Install Support

kandi X-RAY | tensorboard-easy Summary

tensorboard-easy is a Python library. tensorboard-easy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install tensorboard-easy' or download it from GitHub, PyPI.

A logger that writes in a format, readable by tensorboard

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Security

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Support

tensorboard-easy has a low active ecosystem.

It has 5 star(s) with 3 fork(s). There are 1 watchers for this library.

It had no major release in the last 12 months.

There are 1 open issues and 0 have been closed. On average issues are closed in 1098 days. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of tensorboard-easy is 0.2.3

Quality

tensorboard-easy has no bugs reported.

Security

tensorboard-easy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

tensorboard-easy is licensed under the MIT License. This license is Permissive.

Permissive licenses have the least restrictions, and you can use them in most projects.

Reuse

tensorboard-easy releases are available to install and integrate.

Deployable package is available in PyPI.

Build file is available. You can build the component from source.

Top functions reviewed by kandi - BETA

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

Make a log histogram
Decorator for logging
Encode the given data
Apply AND to x
Make the log image
Create a function to log text

Get all kandi verified functions for this library.

tensorboard-easy Key Features

No Key Features are available at this moment for tensorboard-easy.

tensorboard-easy Examples and Code Snippets

No Code Snippets are available at this moment for tensorboard-easy.

Community Discussions

Trending Discussions on tensorboard-easy

pip search finds tensorflow, but pip install does not

QUESTION

pip search finds tensorflow, but pip install does not

Asked 2020-Jan-23 at 06:55

I am trying to build a Django app that would use Keras models to make recommendations. Right now I'm trying to use one custom container that would hold both Django and Keras. Here's the Dockerfile I've written.

...

ANSWER

Answered 2019-Jan-02 at 22:56

It looks like tensorflow only publishes wheels (and only up to 3.6), and Alpine linux is not manylinux1-compatible due to its use of musl instead of glibc. Because of this, pip cannot find a suitable installation candidate and fails. Your best options are probably to build from source or change your base image.

Source https://stackoverflow.com/questions/54014076

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

Vulnerabilities

No vulnerabilities reported

Install tensorboard-easy

You can install using 'pip install tensorboard-easy' or download it from GitHub, PyPI.
You can use tensorboard-easy 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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