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How to install mlconfound via python pip




mlconfound - Tools for analyzing and quantifying effects of counfounder variables on machine learning model predictions., it belongs to Classifiers:

- License :: OSI Approved :: GNU General Public License v3 or later (GPLv3+)
- Topic :: Scientific/Engineering :: Artificial Intelligence

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



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_mlconfound_env

- Active the virtual environment

test_mlconfound_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_mlconfound_env

- Active the virtual environment

source test_mlconfound_env/bin/active


Step 2: OK, now, let flow below content to start the installation mlconfound

To install mlconfound on Windows(CMD):

py -m pip install mlconfound

To install mlconfound on Unix/macOs:

pip install mlconfound


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

Example:

pip install mlconfound==0.9.0


Please see the version list below table:

VersionReleased dateCommand
mlconfound 0.20.12022-04-25T11:41:31Windows:

py -m pip install mlconfound==0.20.1

Unix/macOs:

pip install mlconfound==0.20.1

mlconfound 0.20.02021-10-25T10:55:07Windows:

py -m pip install mlconfound==0.20.0

Unix/macOs:

pip install mlconfound==0.20.0

mlconfound 0.13.02021-10-11T13:22:51Windows:

py -m pip install mlconfound==0.13.0

Unix/macOs:

pip install mlconfound==0.13.0

mlconfound 0.12.02021-10-06T14:44:40Windows:

py -m pip install mlconfound==0.12.0

Unix/macOs:

pip install mlconfound==0.12.0

mlconfound 0.11.02021-10-06T11:31:10Windows:

py -m pip install mlconfound==0.11.0

Unix/macOs:

pip install mlconfound==0.11.0

mlconfound 0.9.42021-08-08T19:34:47Windows:

py -m pip install mlconfound==0.9.4

Unix/macOs:

pip install mlconfound==0.9.4

mlconfound 0.9.32021-08-08T19:10:50Windows:

py -m pip install mlconfound==0.9.3

Unix/macOs:

pip install mlconfound==0.9.3

mlconfound 0.9.22021-08-08T17:45:59Windows:

py -m pip install mlconfound==0.9.2

Unix/macOs:

pip install mlconfound==0.9.2

mlconfound 0.9.12021-08-08T17:37:31Windows:

py -m pip install mlconfound==0.9.1

Unix/macOs:

pip install mlconfound==0.9.1

mlconfound 0.9.02021-08-08T16:33:40Windows:

py -m pip install mlconfound==0.9.0

Unix/macOs:

pip install mlconfound==0.9.0


Step 4: Otherwise, you can install mlconfound from local archives:

Download the distribution file from mlconfound-0.20.1.tar.gz or the specific mlconfound version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_mlconfound_downloaded_file>

On Unix/macOs:

pip install <path_to_mlconfound_downloaded_file>


List distribution:

- mlconfound-0.9.0-py3-none-any.whl (python version >=3.8,<4.0)
- mlconfound-0.9.0.tar.gz (python version >=3.8,<4.0)
- mlconfound-0.9.1-py3-none-any.whl (python version >=3.7,<3.10)
- mlconfound-0.9.1.tar.gz (python version >=3.7,<3.10)
- mlconfound-0.9.2-py3-none-any.whl (python version >=3.7,<3.10)
- mlconfound-0.9.2.tar.gz (python version >=3.7,<3.10)
- mlconfound-0.9.3-py3-none-any.whl (python version >=3.7,<3.10)
- mlconfound-0.9.3.tar.gz (python version >=3.7,<3.10)
- mlconfound-0.9.4-py3-none-any.whl (python version >=3.7,<3.10)
- mlconfound-0.9.4.tar.gz (python version >=3.7,<3.10)
- mlconfound-0.11.0-py3-none-any.whl (python version >=3.7,<3.10)
- mlconfound-0.11.0.tar.gz (python version >=3.7,<3.10)
- mlconfound-0.12.0-py3-none-any.whl (python version >=3.7,<3.10)
- mlconfound-0.12.0.tar.gz (python version >=3.7,<3.10)
- mlconfound-0.13.0-py3-none-any.whl (python version >=3.7,<3.10)
- mlconfound-0.13.0.tar.gz (python version >=3.7,<3.10)
- mlconfound-0.20.0-py3-none-any.whl (python version >=3.7,<3.10)
- mlconfound-0.20.0.tar.gz (python version >=3.7,<3.10)
- mlconfound-0.20.1-py3-none-any.whl (python version >=3.7,<3.10)
- mlconfound-0.20.1.tar.gz (python version >=3.7,<3.10)
- mlconfound-0.21.0-py3-none-any.whl (python version >=3.7,<3.10)
- mlconfound-0.21.0.tar.gz (python version >=3.7,<3.10)
- mlconfound-0.21.3-py3-none-any.whl (python version >=3.7)
- mlconfound-0.21.3.tar.gz (python version >=3.7)


Project link:

- Homepage
- Documentation
- Repository