EDA for complex data
Project description
pyemb - EDA of embeddings in Python
pyemb is a toolkit for analysing complex datasets through the lens of embedding high-dimensional data, relational databases and networks. It includes functionality for preprocessing, various embedding techniques, hierarchical clustering and visualisation. The aim of this package is have implementations of an variety of exploratory data anaylsis tools that can be used across a large array of datasets.
To install the package, you can use pip: pip install pyemb
Code has been tested for python versions 3.10 to 3.13 on Ubuntu and Mac.
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 pyemb-1.0.0a13.tar.gz.
File metadata
- Download URL: pyemb-1.0.0a13.tar.gz
- Upload date:
- Size: 22.0 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
2a790fc1fbb772f3aa43042e10e8cc79a3639f38b410f84c0ada828f4d7dea20
|
|
| MD5 |
e6cc82cb7d90c86c8a58befeaa30b9d1
|
|
| BLAKE2b-256 |
b20275f20930b90fd012e3e3c0e3337e84f4c7aeee5e89b82fa3e323bfa80f3d
|
File details
Details for the file pyemb-1.0.0a13-py3-none-any.whl.
File metadata
- Download URL: pyemb-1.0.0a13-py3-none-any.whl
- Upload date:
- Size: 28.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.10.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
647820244f705d5bfd580131ef9ef776ff980c3da4349ee8f40b3921f634b693
|
|
| MD5 |
0802acbfa3ed8f687f2e64c6a7ce5068
|
|
| BLAKE2b-256 |
179b0026b967f38bafe782d333942f674dd3380916612500706a126577e27a2f
|
