Prefix‑Projection and other sequential pattern mining algorithms
Project description
effspm
Efficient Sequential Pattern Mining via Prefix‑Projection
This library provides a Python interface to mine sequential patterns using the prefix‑projection algorithm, implemented in C++ for performance and exposed via pybind11.
Installation
pip install effspm
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
effspm-0.1.9.tar.gz
(21.9 kB
view details)
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file effspm-0.1.9.tar.gz.
File metadata
- Download URL: effspm-0.1.9.tar.gz
- Upload date:
- Size: 21.9 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
dcac0127a3e90e8f8314fb834c7df935a12305e2eb4c481767c0b457fd2bbd88
|
|
| MD5 |
322afccf95e741ef787a051f40948d63
|
|
| BLAKE2b-256 |
eec232050a15ba3e96b85dfbc74c04569c51bb87274b3939305cc52410ebd13a
|
File details
Details for the file effspm-0.1.9-cp313-cp313-macosx_10_13_universal2.whl.
File metadata
- Download URL: effspm-0.1.9-cp313-cp313-macosx_10_13_universal2.whl
- Upload date:
- Size: 231.7 kB
- Tags: CPython 3.13, macOS 10.13+ universal2 (ARM64, x86-64)
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/6.1.0 CPython/3.13.2
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
ea099ea2775018ee8451111a8ecc1da604c39c010f2dc4eda97d731f7d76531c
|
|
| MD5 |
34c895575691e0c70da353c7f267eeb6
|
|
| BLAKE2b-256 |
f5c658b48eacdedde072aae0e383e041900fe649c8ca4675a618d65010cb1b3e
|
