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How to install tensorboard-plugin-fairness-indicators via python pip

tensorboard-plugin-fairness-indicators - Fairness Indicators TensorBoard Plugin, it belongs to Classifiers:

- Development Status :: 4 - Beta
- Intended Audience :: Education
- Intended Audience :: Science/Research
- License :: OSI Approved :: Apache Software License
- Programming Language :: Python :: 3 :: Only
- Programming Language :: Python :: 3.8
- Programming Language :: Python :: 3.9
- Topic :: Scientific/Engineering
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Scientific/Engineering :: Mathematics
- Topic :: Software Development
- Topic :: Software Development :: Libraries
- Topic :: Software Development :: Libraries :: Python Modules

When you know about this project and you want to new install tensorboard-plugin-fairness-indicators to support your project or you get trouble as ModuleNotFoundError: No module named "tensorboard-plugin-fairness-indicators" or ImportError: cannot import name "tensorboard-plugin-fairness-indicators" in your project, let follow this tutorial to install tensorboard-plugin-fairness-indicators

Installation:

Step 1: First, ensure you installed pip in your os, to check pip has been installed on your computer

In Windows (CMD):

py -m pip --version

In Unix/macOS:

python3 -m pip --version

Ensure pip, setuptools, and wheel are up to date:

In Windows (CMD):

py -m pip install --upgrade pip setuptools wheel

In Unix/macOS:

python3 -m pip install --upgrade pip setuptools wheel

Optional - If you want to install in virtual environment:

In Windows (CMD):

- Install virtualenv - if you installed it, please ignore

py -m pip install --user virtualenv

- Create a virtual environment

py -m venv test_tensorboard-plugin-fairness-indicators_env

- Active the virtual environment

test_tensorboard-plugin-fairness-indicators_env\Scripts\active

In Unix/macOS:

- Install virtualenv - if you installed it, please ignore

pip3 install virtualenv

- Create a virtual environment

python3 -m venv test_tensorboard-plugin-fairness-indicators_env

- Active the virtual environment

source test_tensorboard-plugin-fairness-indicators_env/bin/active

Step 2: OK, now, let flow below content to start the installation tensorboard-plugin-fairness-indicators

To install tensorboard-plugin-fairness-indicators on Windows(CMD):

py -m pip install tensorboard-plugin-fairness-indicators

To install tensorboard-plugin-fairness-indicators on Unix/macOs:

pip install tensorboard-plugin-fairness-indicators

Step 3: If you want to install a specific tensorboard-plugin-fairness-indicators version, add ==<tensorboard-plugin-fairness-indicators version> to the end command line

Example: 

pip install tensorboard-plugin-fairness-indicators==0.0.1

Please see the version list below table:

VersionReleased dateCommand
tensorboard-plugin-fairness-indicators 0.40.02022-07-20T07:08:55Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.40.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.40.0

tensorboard-plugin-fairness-indicators 0.39.02022-05-27T17:07:36Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.39.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.39.0

tensorboard-plugin-fairness-indicators 0.38.02022-03-07T20:10:26Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.38.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.38.0

tensorboard-plugin-fairness-indicators 0.37.02022-02-02T23:21:02Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.37.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.37.0

tensorboard-plugin-fairness-indicators 0.36.02021-12-03T20:31:20Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.36.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.36.0

tensorboard-plugin-fairness-indicators 0.35.02021-11-12T23:53:34Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.35.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.35.0

tensorboard-plugin-fairness-indicators 0.34.02021-09-21T18:32:11Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.34.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.34.0

tensorboard-plugin-fairness-indicators 0.33.02021-08-09T17:42:23Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.33.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.33.0

tensorboard-plugin-fairness-indicators 0.30.02021-05-17T19:56:09Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.30.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.30.0

tensorboard-plugin-fairness-indicators 0.29.02021-04-08T23:27:33Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.29.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.29.0

tensorboard-plugin-fairness-indicators 0.28.02021-03-09T20:28:06Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.28.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.28.0

tensorboard-plugin-fairness-indicators 0.27.02021-01-28T22:10:54Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.27.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.27.0

tensorboard-plugin-fairness-indicators 0.26.02020-12-17T03:35:30Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.26.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.26.0

tensorboard-plugin-fairness-indicators 0.25.02020-11-05T19:51:59Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.25.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.25.0

tensorboard-plugin-fairness-indicators 0.24.02020-09-15T20:19:03Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.24.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.24.0

tensorboard-plugin-fairness-indicators 0.23.02020-08-18T17:55:45Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.23.0

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.23.0

tensorboard-plugin-fairness-indicators 0.0.62020-07-08T17:37:09Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.0.6

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.0.6

tensorboard-plugin-fairness-indicators 0.0.52020-05-20T01:35:44Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.0.5

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.0.5

tensorboard-plugin-fairness-indicators 0.0.4 yanked2020-05-20T01:30:28Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.0.4                                                                          yanked

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.0.4                                                                          yanked

tensorboard-plugin-fairness-indicators 0.0.32020-02-02T04:03:20Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.0.3

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.0.3

tensorboard-plugin-fairness-indicators 0.0.22019-10-29T18:10:35Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.0.2

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.0.2

tensorboard-plugin-fairness-indicators 0.0.12019-10-23T03:38:07Windows:

py -m pip install tensorboard-plugin-fairness-indicators==0.0.1

Unix/macOs:

pip install tensorboard-plugin-fairness-indicators==0.0.1

Step 4: Otherwise, you can install tensorboard-plugin-fairness-indicators from local archives:

Download the distribution file from tensorboard_plugin_fairness_indicators-0.40.0-py3-none-any.whl or the specific tensorboard-plugin-fairness-indicators version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_tensorboard-plugin-fairness-indicators_downloaded_file>

On Unix/macOs:

pip install <path_to_tensorboard-plugin-fairness-indicators_downloaded_file>

List distribution:

Project link:

- Homepage

 

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