How to install rflow-ml-pipelines-sdk via python pip

- Intended Audience :: Education
- Intended Audience :: Science/Research
- License :: OSI Approved :: Apache Software License
- Programming Language :: Python :: 3 :: Only
- Topic :: Scientific/Engineering
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Scientific/Engineering :: Mathematics

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

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

py -m pip install --user virtualenv

py -m venv test_rflow-ml-pipelines-sdk_env

test_rflow-ml-pipelines-sdk_env\Scripts\active

pip3 install virtualenv

python3 -m venv test_rflow-ml-pipelines-sdk_env

source test_rflow-ml-pipelines-sdk_env/bin/active

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

To install rflow-ml-pipelines-sdk on Windows(CMD):

py -m pip install rflow-ml-pipelines-sdk

To install rflow-ml-pipelines-sdk on Unix/macOs:

pip install rflow-ml-pipelines-sdk

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

Example:

pip install rflow-ml-pipelines-sdk==1.0.0

Please see the version list below table:

py -m pip install rflow-ml-pipelines-sdk==1.1.18

pip install rflow-ml-pipelines-sdk==1.1.18

py -m pip install rflow-ml-pipelines-sdk==1.1.17

pip install rflow-ml-pipelines-sdk==1.1.17

py -m pip install rflow-ml-pipelines-sdk==1.1.16

pip install rflow-ml-pipelines-sdk==1.1.16

py -m pip install rflow-ml-pipelines-sdk==1.1.1

pip install rflow-ml-pipelines-sdk==1.1.1

py -m pip install rflow-ml-pipelines-sdk==1.1.0

pip install rflow-ml-pipelines-sdk==1.1.0

py -m pip install rflow-ml-pipelines-sdk==1.0.8

pip install rflow-ml-pipelines-sdk==1.0.8

py -m pip install rflow-ml-pipelines-sdk==1.0.7

pip install rflow-ml-pipelines-sdk==1.0.7

py -m pip install rflow-ml-pipelines-sdk==1.0.6

pip install rflow-ml-pipelines-sdk==1.0.6

py -m pip install rflow-ml-pipelines-sdk==1.0.5

pip install rflow-ml-pipelines-sdk==1.0.5

py -m pip install rflow-ml-pipelines-sdk==1.0.4

pip install rflow-ml-pipelines-sdk==1.0.4

py -m pip install rflow-ml-pipelines-sdk==1.0.3

pip install rflow-ml-pipelines-sdk==1.0.3

py -m pip install rflow-ml-pipelines-sdk==1.0.2

pip install rflow-ml-pipelines-sdk==1.0.2

py -m pip install rflow-ml-pipelines-sdk==1.0.1

pip install rflow-ml-pipelines-sdk==1.0.1

py -m pip install rflow-ml-pipelines-sdk==1.0.0

pip install rflow-ml-pipelines-sdk==1.0.0

Step 4: Otherwise, you can install rflow-ml-pipelines-sdk from local archives:

Download the distribution file from rflow_ml_pipelines_sdk-1.1.18-py3-none-any.whl or the specific rflow-ml-pipelines-sdk version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_rflow-ml-pipelines-sdk_downloaded_file>

On Unix/macOs:

pip install <path_to_rflow-ml-pipelines-sdk_downloaded_file>

List distribution:

Project link:

- Homepage
- Download