Coding With Fun
Home Docker Django Node.js Articles Python pip guide FAQ Policy
 

How to install waseda-tfx via python pip




waseda-tfx - TensorFlow Extended (TFX) is a TensorFlow-based general-purpose machine learning platform implemented at Google., it belongs to Classifiers:

- Intended Audience :: Education
- Topic :: Scientific/Engineering :: Artificial Intelligence

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



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_waseda-tfx_env

- Active the virtual environment

test_waseda-tfx_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_waseda-tfx_env

- Active the virtual environment

source test_waseda-tfx_env/bin/active


Step 2: OK, now, let flow below content to start the installation waseda-tfx

To install waseda-tfx on Windows(CMD):

py -m pip install waseda-tfx

To install waseda-tfx on Unix/macOs:

pip install waseda-tfx


Step 3: If you want to install a specific waseda-tfx version, add ==<waseda-tfx version> to the end command line

Example:

pip install waseda-tfx==7.0.0


Please see the version list below table:

VersionReleased dateCommand
waseda-tfx 7.1.02021-10-08T07:08:44Windows:

py -m pip install waseda-tfx==7.1.0

Unix/macOs:

pip install waseda-tfx==7.1.0

waseda-tfx 7.0.92021-10-08T06:57:10Windows:

py -m pip install waseda-tfx==7.0.9

Unix/macOs:

pip install waseda-tfx==7.0.9

waseda-tfx 7.0.82021-10-08T06:53:47Windows:

py -m pip install waseda-tfx==7.0.8

Unix/macOs:

pip install waseda-tfx==7.0.8

waseda-tfx 7.0.72021-10-08T06:47:41Windows:

py -m pip install waseda-tfx==7.0.7

Unix/macOs:

pip install waseda-tfx==7.0.7

waseda-tfx 7.0.62021-10-08T06:23:47Windows:

py -m pip install waseda-tfx==7.0.6

Unix/macOs:

pip install waseda-tfx==7.0.6

waseda-tfx 7.0.52021-10-08T06:17:32Windows:

py -m pip install waseda-tfx==7.0.5

Unix/macOs:

pip install waseda-tfx==7.0.5

waseda-tfx 7.0.42021-10-08T06:05:04Windows:

py -m pip install waseda-tfx==7.0.4

Unix/macOs:

pip install waseda-tfx==7.0.4

waseda-tfx 7.0.12021-10-07T10:08:05Windows:

py -m pip install waseda-tfx==7.0.1

Unix/macOs:

pip install waseda-tfx==7.0.1

waseda-tfx 7.0.02021-08-19T07:26:37Windows:

py -m pip install waseda-tfx==7.0.0

Unix/macOs:

pip install waseda-tfx==7.0.0


Step 4: Otherwise, you can install waseda-tfx from local archives:

Download the distribution file from waseda_tfx-7.1.0-py3-none-any.whl or the specific waseda-tfx version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_waseda-tfx_downloaded_file>

On Unix/macOs:

pip install <path_to_waseda-tfx_downloaded_file>


List distribution:


Project link:

- Homepage
- Download