A Symphony component to find outliers and common instances in a dataset
Project description
SymphonyFamiliarity
A component that displays how familiar certain data points are within a dataset.
This is useful for finding outliers and common instances.
The familiarity metric is based on a column prefixed familiarity_, which must contain a number that indicates the familiarity value.
Installation
pip install symphony_familiarity
Usage
To learn how to use Symphony, see the documentation.
Development
To learn about how to build Symphony from source and how to contribute to the framework, please look at CONTRIBUTING.md and the development documentation.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file symphony_familiarity-1.0.2.tar.gz.
File metadata
- Download URL: symphony_familiarity-1.0.2.tar.gz
- Upload date:
- Size: 6.6 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | fea94b8ceec3b14b33f6cb81952490f7a97f5477401ec266d1ccd5d07bf369d6 |
|
| MD5 | 2d7eb2f1aed8483e645383a47a8420bf |
|
| BLAKE2b-256 | 0d00aa1d7d6b4bbe5a0da9512060738c7d366298e3b6a490512d4b4d536d7281 |
File details
Details for the file symphony_familiarity-1.0.2-py2.py3-none-any.whl.
File metadata
- Download URL: symphony_familiarity-1.0.2-py2.py3-none-any.whl
- Upload date:
- Size: 11.5 MB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.2 CPython/3.11.4
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 62fb9ccadbbb780f304afafc302033d95ea3b583bc99bef9796cc09e807c13f5 |
|
| MD5 | b045e14c9ab3334855085ad40b8afcba |
|
| BLAKE2b-256 | 9c5fb0431b615175b9a5d63a193e2421a266902b67700e01ae6b145c68ffc430 |
