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.
1 maintainer
Metadata
1 maintainer
Release files for symphony-familiarity 1.0.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| symphony_familiarity-1.0.2.tar.gz | 6.6 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| symphony_familiarity-1.0.2-py2.py3-none-any.whl | Python 2, Python 3 | none | any | Details |
Total release size: 18.1 MB
Release files / symphony_familiarity-1.0.2.tar.gz
| Download URL | symphony_familiarity-1.0.2.tar.gz |
|---|---|
| Size | 6.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
fea94b8ceec3b14b33f6cb81952490f7a97f5477401ec266d1ccd5d07bf369d6
|
|
BLAKE2b-256 checksum How to use checksums |
0d00aa1d7d6b4bbe5a0da9512060738c7d366298e3b6a490512d4b4d536d7281
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
Release files / symphony_familiarity-1.0.2-py2.py3-none-any.whl
| Download URL | symphony_familiarity-1.0.2-py2.py3-none-any.whl |
|---|---|
| Size | 11.5 MB |
| Tags | Python 2 Python 3 |
|
SHA-256 checksum How to use checksums |
62fb9ccadbbb780f304afafc302033d95ea3b583bc99bef9796cc09e807c13f5
|
|
BLAKE2b-256 checksum How to use checksums |
9c5fb0431b615175b9a5d63a193e2421a266902b67700e01ae6b145c68ffc430
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.11.4
|
