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.
Release files for exdpn 1.1.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| exdpn-1.1.1.tar.gz | 46.7 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| exdpn-1.1.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 115.5 kB
Release files / exdpn-1.1.1.tar.gz
| Download URL | exdpn-1.1.1.tar.gz |
|---|---|
| Size | 46.7 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.10.5
|
Release files / exdpn-1.1.1-py3-none-any.whl
| Download URL | exdpn-1.1.1-py3-none-any.whl |
|---|---|
| Size | 68.9 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.0 CPython/3.10.5
|
