Logical Reasoning for Deep Nets
Project description
========= Pymetheus
.. image:: https://img.shields.io/pypi/v/pymetheus.svg :target: https://pypi.python.org/pypi/pymetheus
.. image:: https://img.shields.io/travis/vinid/pymetheus.svg :target: https://travis-ci.org/vinid/pymetheus
.. image:: https://readthedocs.org/projects/pymetheus/badge/?version=latest :target: https://pymetheus.readthedocs.io/en/latest/?badge=latest :alt: Documentation Status
PyMetheus: Deep Nets for Logical Reasoning
- Free software: GNU General Public License v3
- Documentation: https://pymetheus.readthedocs.io.
Features
- Provides an out of the box tool to learn (fuzz) first order logic with the use of an underlying vector space
Features
- Create a Logic Deep Network
.. code-block:: python
import pymetheus
import itertools
from pymetheus.pymetheus import LogicNet
ll = LogicNet()
..
- Introduce Some Constants
.. code-block:: python
ll.constant("Rome")
ll.constant("Milan")
ll.constant("Italy")
..
- Introduce Some Predicates and Knowledge
.. code-block:: python
ll.predicate("capital")
ll.predicate("country")
ll.knowledge("country(Milan,Italy)")
ll.knowledge("capital(Rome,Italy)")
ll.zeroing() # Initialize KB with all knowledge as false
..
-
Add quantified rule with data .. code-block:: python
rule = "forall ?a,?b: capital(?a,?b) -> country(?a,?b)" ll.universal_rule(rule) var = ["Italy", "Rome", "Milan"] ll.variable("?a", var) ll.variable("?b", var) ..
-
Learn and Reason
.. code-block:: python
ll.learn(epochs=1000, batch_size=25)
ll.reason("capital(Rome,Italy)", True)
..
Credits
This package was created with Cookiecutter_ and the audreyr/cookiecutter-pypackage
_ project template.
.. _Cookiecutter: https://github.com/audreyr/cookiecutter
.. _audreyr/cookiecutter-pypackage
: https://github.com/audreyr/cookiecutter-pypackage
======= History
0.1.0 (2019-08-22)
- First release on PyPI.
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
File details
Details for the file pymetheus-0.3.1.tar.gz
.
File metadata
- Download URL: pymetheus-0.3.1.tar.gz
- Upload date:
- Size: 17.1 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | f3e2175ad594f7190dd110e0e73f8c5901a474b3968a92a8d9f4809af64afebe |
|
MD5 | 89b934411d477b9eb893c3ec8f4d2245 |
|
BLAKE2b-256 | e907dd009f0a0347f4c4d9fb87776c0df5ad254b121a5030146eaa3bb22d6ee5 |
File details
Details for the file pymetheus-0.3.1-py2.py3-none-any.whl
.
File metadata
- Download URL: pymetheus-0.3.1-py2.py3-none-any.whl
- Upload date:
- Size: 13.9 kB
- Tags: Python 2, Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: twine/3.1.1 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.1.0 requests-toolbelt/0.9.1 tqdm/4.38.0 CPython/3.7.5
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | acc88b8b93eb7f2d491170212743f739b02cda0533ad69b0cdc19b66fda34168 |
|
MD5 | ee2d8cee25cd30a231382cabe7c0a9ec |
|
BLAKE2b-256 | ab54832a5f8b40d2479e651074c0a3d9a0d3cd119e433fd19776e40991b9ca93 |