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How to install model-describer via python pip




model-describer - How can I unlock what my model is thinking? model-describer helps answer this problem for sklearn machine learning models. Specifically, model-describer helps address two key issues: error and model sensitivity. For error, model-describer analyzes how well the model is performing within key regions of the data in a visually compelling way. For sensitivity, model-describer identifies what parts of different variable distributions have the biggest impact on model predictions and plots them., it belongs to Classifiers:

- Development Status :: 4 - Beta
- Intended Audience :: Developers
- Operating System :: MacOS
- Operating System :: Microsoft
- Operating System :: Microsoft :: Windows
- Operating System :: POSIX
- Operating System :: POSIX :: Linux
- Programming Language :: Python
- Programming Language :: Python :: 2
- Programming Language :: Python :: 2.7
- Programming Language :: Python :: 3
- Programming Language :: Python :: 3.5
- Programming Language :: Python :: 3.6
- Topic :: Communications
- Topic :: Communications :: Email
- Topic :: Education
- Topic :: Scientific/Engineering
- Topic :: Scientific/Engineering :: Artificial Intelligence
- Topic :: Scientific/Engineering :: Mathematics
- Topic :: Scientific/Engineering :: Visualization

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



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_model-describer_env

- Active the virtual environment

test_model-describer_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_model-describer_env

- Active the virtual environment

source test_model-describer_env/bin/active


Step 2: OK, now, let flow below content to start the installation model-describer

To install model-describer on Windows(CMD):

py -m pip install model-describer

To install model-describer on Unix/macOs:

pip install model-describer


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

Example:

pip install model-describer==0.1.1


Please see the version list below table:

VersionReleased dateCommand
model-describer 0.1.2.22018-04-13T19:54:08Windows:

py -m pip install model-describer==0.1.2.2

Unix/macOs:

pip install model-describer==0.1.2.2

model-describer 0.1.2.12018-04-03T16:20:37Windows:

py -m pip install model-describer==0.1.2.1

Unix/macOs:

pip install model-describer==0.1.2.1

model-describer 0.1.12018-03-07T01:47:25Windows:

py -m pip install model-describer==0.1.1

Unix/macOs:

pip install model-describer==0.1.1


Step 4: Otherwise, you can install model-describer from local archives:

Download the distribution file from model-describer-0.1.2.2.tar.gz or the specific model-describer version in the below list of distribution

After that, install by command:

On Windows(CMD):

py -m pip install <path_to_model-describer_downloaded_file>

On Unix/macOs:

pip install <path_to_model-describer_downloaded_file>


List distribution:

- model-describer-0.1.1.tar.gz
- model-describer-0.1.2.1.tar.gz
- model-describer-0.1.2.2.tar.gz


Project link:

- Homepage
- Download