Howso™ Visualization Utilities
This repository contains several utility functions for plotting data that are both input to and output from Howso Engine. In particular, highlighting:
- Model drift
- Feature importances
- Interpretable predictions
- Entire datasets
Installation
Simply install with pip:
python -m pip install howso-visuals
Or, to install for development, clone this repository and install it editably:
git clone github.com/howsoai/howso-visuals
cd howso-visuals
python -m pip install -e .[dev]
License
Contributing
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
howso_visuals-4.1.1.tar.gz
(165.8 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
howso_visuals-4.1.1-py3-none-any.whl
(149.4 kB
view details)
File details
Details for the file howso_visuals-4.1.1.tar.gz.
File metadata
- Download URL: howso_visuals-4.1.1.tar.gz
- Upload date:
- Size: 165.8 kB
- Tags: Source
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
a9ad79bca9403fbc6013f035059cbd1db665cccc4b4cb1eef49f0becb4effb14
|
|
| MD5 |
815e85251794a8acd91472ab29b6ae59
|
|
| BLAKE2b-256 |
cc6d2c7183acb1c1808cefeed506b49053331441e1f7e6e3cc748dd824e9b4ad
|
File details
Details for the file howso_visuals-4.1.1-py3-none-any.whl.
File metadata
- Download URL: howso_visuals-4.1.1-py3-none-any.whl
- Upload date:
- Size: 149.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? Yes
- Uploaded via:
twine/7.0.0 CPython/3.13.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
c1440a9343f712b0e693bc16eb676f662cf8eee18a3ff193b55f4eae67a22a33
|
|
| MD5 |
2f1822d14da8dc9cbcb7e8027fd27961
|
|
| BLAKE2b-256 |
91ed922ef78744c82893b66c8023053622cbe7d7f6e4c7935bc913b000395789
|