Skip to main content

Auto AI Cluster

End-to-end clustering (segmentation) via Python API or local web UI.

Install

pip install autoaicluster

One-liner usage

from autoaicluster import autoaicluster

# Launch web UI
url = autoaicluster(ui=True)
print(url)

# Or run AutoML clustering directly on a DataFrame or CSV path
import pandas as pd

df = pd.DataFrame({
    'age':[25,37,29,41,33,52,47,23,39,31],
    'income':[40,72,50,90,60,120,95,35,70,55],
    'city':['A','B','A','B','A','B','B','A','B','A']
})
res = autoaicluster(df)
print(res['algorithm'], res['silhouette'], res['label_counts'])

Advanced (Python API)

  • Full control via enterprise_cluster_solution.auto_segment and run_pipeline for preprocessing and algorithm selection.

Notes

  • To access UI from other machines, set env vars before launching: ECS_HOST=0.0.0.0 ECS_PORT=8000.

License

MIT

Metadata

Release files for autoaicluster 0.2.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for autoaicluster 0.2.0
File Size Uploaded
autoaicluster-0.2.0.tar.gz 19.7 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for autoaicluster 0.2.0
File Interpreter ABI Platform
autoaicluster-0.2.0-py3-none-any.whl Python 3 none any Details

Total release size: 36.9 kB

Release files / autoaicluster-0.2.0.tar.gz

Download URL autoaicluster-0.2.0.tar.gz
Size 19.7 kB
Tags Source
SHA-256 checksum
How to use checksums
3b3a3d09606dc503692e51331ad7687325b778355c5163686d4ea235587c660f
BLAKE2b-256 checksum
How to use checksums
61663c580d61a8eae11a5f70a61726c690e8dd5214914d49311e331420b82319
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.10.11

Release files / autoaicluster-0.2.0-py3-none-any.whl

Download URL autoaicluster-0.2.0-py3-none-any.whl
Size 17.2 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ebc7607db463f3431e2e6128aacaf6d7086b47311088c351f2477ecfe7054f9b
BLAKE2b-256 checksum
How to use checksums
e1cf071cb50486d582e161cbaa5975bc661e5960163c850e1d99b0e5b85c3da8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/6.1.0 CPython/3.10.11

Release history Release notifications | RSS feed

This release

0.2.0 This release

2 release files

0.1.6

2 release files

0.1.5

2 release files

0.1.4

2 release files

0.1.3

2 release files

0.1.2

2 release files

0.1.0

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page