Skip to main content

Prefix‑Projection sequential pattern mining

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

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

effspm-0.1.2.tar.gz (11.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

effspm-0.1.2-cp313-cp313-macosx_10_13_universal2.whl (166.5 kB view details)

Uploaded CPython 3.13macOS 10.13+ universal2 (ARM64, x86-64)

File details

Details for the file effspm-0.1.2.tar.gz.

File metadata

  • Download URL: effspm-0.1.2.tar.gz
  • Upload date:
  • Size: 11.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.2

File hashes

Hashes for effspm-0.1.2.tar.gz
Algorithm Hash digest
SHA256 86dbf1518e5bf0808cdc160aa9529ae974d3dee405896fca9403bba30072bc71
MD5 5995675455c6f375db3928371948b6b7
BLAKE2b-256 281e499a96d810030e8e536b5cd6dc11cdd2abc2a4d545a98248e29f31170800

See more details on using hashes here.

File details

Details for the file effspm-0.1.2-cp313-cp313-macosx_10_13_universal2.whl.

File metadata

File hashes

Hashes for effspm-0.1.2-cp313-cp313-macosx_10_13_universal2.whl
Algorithm Hash digest
SHA256 ad5b478f1cd4560061edf93d06c71c58141c6b0572a24245893725bc9e3f4b0a
MD5 cc45bae2f75a063a577395363e8e83b6
BLAKE2b-256 2e712c7aae3a239b717b04dee82f528334b8ebec9f95156d83411e03c4b07408

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page