Visualization utilities for use with Howso Engine.

Navigation

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for apbassett from gravatar.com apbassett Avatar for dmglennie-diveplane from gravatar.com dmglennie-diveplane Avatar for wagoddin from gravatar.com wagoddin

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Affero General Public License v3 (GNU AFFERO GENERAL PUBLIC LICENSE)
  • Tags machine , learning , artificial , intelligence , data , visualization
  • Requires: Python >=3.10
  • Provides-Extra: dev
Classifiers
Report project as malware

Project description

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

License

Contributing

Contributing

Project details

Verified details

These details have been verified by PyPI
Project links
GitHub Statistics
Maintainers
Avatar for apbassett from gravatar.com apbassett Avatar for dmglennie-diveplane from gravatar.com dmglennie-diveplane Avatar for wagoddin from gravatar.com wagoddin

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: GNU Affero General Public License v3 (GNU AFFERO GENERAL PUBLIC LICENSE)
  • Tags machine , learning , artificial , intelligence , data , visualization
  • Requires: Python >=3.10
  • Provides-Extra: dev
Classifiers

Release history Release notifications | RSS feed

3.2.3

3.2.2

3.2.1

3.2.0

3.1.2

3.1.1

3.1.0

3.0.7

3.0.6

3.0.5

3.0.4

3.0.3

3.0.2

3.0.1

3.0.0

This version

2.5.7

2.5.6

2.5.5

2.5.4

2.5.3

2.5.2

2.5.1

2.5.0

2.4.1

2.4.0

2.3.0

2.2.2

2.2.1

2.2.0

2.1.1

2.1.0

2.0.10

2.0.9

2.0.8

2.0.6

2.0.5

2.0.4

2.0.3

2.0.2

2.0.1

2.0.0

1.7.1 yanked

1.7.0

1.6.3

1.6.2

1.6.1

1.6.0

1.5.1

1.5.0

1.4.13

1.4.12

1.4.11

1.4.10

1.4.9

1.4.8

1.4.7

1.4.6

1.4.5

1.4.3

1.4.2

1.4.1

1.4.0

1.3.0

1.2.3

1.2.2

1.2.1

1.2.0

1.1.2

1.1.1

1.1.0

1.0.0

0.9.2

0.9.1

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-2.5.7.tar.gz (149.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

howso_visuals-2.5.7-py3-none-any.whl (132.9 kB view details)

Uploaded Python 3

File details

Details for the file howso_visuals-2.5.7.tar.gz.

File metadata

  • Download URL: howso_visuals-2.5.7.tar.gz
  • Upload date:
  • Size: 149.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for howso_visuals-2.5.7.tar.gz
Algorithm Hash digest
SHA256 c383efc02cbee7e9ec2bc4f50dc3baa77ee863e924c24d8fc8b70b6eef8e3b53
MD5 72acdb9ba444e7c3c8b2d664bc115ece
BLAKE2b-256 ac0d4bf945ff0cce936b2c20d624db2dfa24c8972eff46945e5d2c4c4063a849

See more details on using hashes here.

File details

Details for the file howso_visuals-2.5.7-py3-none-any.whl.

File metadata

  • Download URL: howso_visuals-2.5.7-py3-none-any.whl
  • Upload date:
  • Size: 132.9 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for howso_visuals-2.5.7-py3-none-any.whl
Algorithm Hash digest
SHA256 1393480695e883e5a3a2b2df0edcb12164d6b40d601f7fbcbb90c679e0b9d1f6
MD5 d0075055f9bc3e0ae2eb8353e7d0b2d2
BLAKE2b-256 df8cff1abcf74a5966214a0a8ef5e34d16e0a70a2a12cbe69e913f3b93dcaea2

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page