Tool to mine and evaluate explainable data Petri nets using different classification techniques.
Project description
This package implements a convenient interface to mine and evaluate data Petri nets using different machine learning techniques at each decision point. More information on the package as well as a dockerized graphical user interface can be found on GitHub.
Project details
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
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 exdpn-1.1.1.tar.gz.
File metadata
- Download URL: exdpn-1.1.1.tar.gz
- Upload date:
- Size: 46.7 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.10.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
8852f72ce96aebdd3ff9a7c540b49937769ad28972adb06cd10062bfe7c679ab
|
|
| MD5 |
886801326302c9c425ef1abbff2446ea
|
|
| BLAKE2b-256 |
e544b760f41dcc3b0706a025e6ba3f8fd3c741a5a00f6e90ac7a1be15bc99ef3
|
File details
Details for the file exdpn-1.1.1-py3-none-any.whl.
File metadata
- Download URL: exdpn-1.1.1-py3-none-any.whl
- Upload date:
- Size: 68.9 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/4.0.0 CPython/3.10.5
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
63347e360546974e3f92bd07281d33b54a4eb4ebdb1aeb6dba4a360dcb316099
|
|
| MD5 |
698e621e682e13903a266b46a3680efe
|
|
| BLAKE2b-256 |
661149d9fd00f17eb67390a36ba88d692aaca5bfff2dceba663fdacd02b9549e
|