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
Metadata
Release files for howso-visuals 4.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| howso_visuals-4.2.0.tar.gz | 166.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| howso_visuals-4.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 317.1 kB
Release files / howso_visuals-4.2.0.tar.gz
| Download URL | howso_visuals-4.2.0.tar.gz |
|---|---|
| Size | 166.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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| Uploaded via |
twine/7.0.0 CPython/3.13.14
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Release files / howso_visuals-4.2.0-py3-none-any.whl
| Download URL | howso_visuals-4.2.0-py3-none-any.whl |
|---|---|
| Size | 150.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
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