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How to install rflow-tfx via python pip




rflow-tfx - TensorFlow Extended (TFX) is README.ml-pipelines-sdk.md TensorFlow-based general-purpose machine learning platform implemented at Google., it belongs to Classifiers:

- Intended Audience :: Education
- Programming Language :: Python :: 3 :: Only
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Scientific/Engineering :: Mathematics

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

- Active the virtual environment

test_rflow-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_rflow-tfx_env

- Active the virtual environment

source test_rflow-tfx_env/bin/active


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

To install rflow-tfx on Windows(CMD):

py -m pip install rflow-tfx

To install rflow-tfx on Unix/macOs:

pip install rflow-tfx


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

Example:

pip install rflow-tfx==0.28.0


Please see the version list below table:

VersionReleased dateCommand
rflow-tfx 1.1.182022-08-10T06:30:02Windows:

py -m pip install rflow-tfx==1.1.18

Unix/macOs:

pip install rflow-tfx==1.1.18

rflow-tfx 1.1.172022-08-10T05:48:50Windows:

py -m pip install rflow-tfx==1.1.17

Unix/macOs:

pip install rflow-tfx==1.1.17

rflow-tfx 1.1.162022-08-10T05:30:46Windows:

py -m pip install rflow-tfx==1.1.16

Unix/macOs:

pip install rflow-tfx==1.1.16

rflow-tfx 1.1.12022-08-03T09:42:03Windows:

py -m pip install rflow-tfx==1.1.1

Unix/macOs:

pip install rflow-tfx==1.1.1

rflow-tfx 1.1.02022-08-03T06:48:54Windows:

py -m pip install rflow-tfx==1.1.0

Unix/macOs:

pip install rflow-tfx==1.1.0

rflow-tfx 1.0.82022-03-01T04:43:02Windows:

py -m pip install rflow-tfx==1.0.8

Unix/macOs:

pip install rflow-tfx==1.0.8

rflow-tfx 1.0.72022-01-25T03:51:00Windows:

py -m pip install rflow-tfx==1.0.7

Unix/macOs:

pip install rflow-tfx==1.0.7

rflow-tfx 1.0.62022-01-24T06:15:08Windows:

py -m pip install rflow-tfx==1.0.6

Unix/macOs:

pip install rflow-tfx==1.0.6

rflow-tfx 1.0.52022-01-24T05:26:04Windows:

py -m pip install rflow-tfx==1.0.5

Unix/macOs:

pip install rflow-tfx==1.0.5

rflow-tfx 1.0.42022-01-21T12:14:02Windows:

py -m pip install rflow-tfx==1.0.4

Unix/macOs:

pip install rflow-tfx==1.0.4

rflow-tfx 1.0.22022-01-21T12:05:48Windows:

py -m pip install rflow-tfx==1.0.2

Unix/macOs:

pip install rflow-tfx==1.0.2

rflow-tfx 1.0.12022-01-21T09:13:21Windows:

py -m pip install rflow-tfx==1.0.1

Unix/macOs:

pip install rflow-tfx==1.0.1

rflow-tfx 1.0.02021-10-20T04:20:17Windows:

py -m pip install rflow-tfx==1.0.0

Unix/macOs:

pip install rflow-tfx==1.0.0

rflow-tfx 0.28.02021-07-07T04:38:09Windows:

py -m pip install rflow-tfx==0.28.0

Unix/macOs:

pip install rflow-tfx==0.28.0


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

Download the distribution file from rflow_tfx-1.1.18-py3-none-any.whl or the specific rflow-tfx version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_rflow-tfx_downloaded_file>

On Unix/macOs:

pip install <path_to_rflow-tfx_downloaded_file>


List distribution:


Project link:

- Homepage
- Download