Pymetheus
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
import pymetheus
import itertools
from pymetheus.pymetheus import LogicNet
ll = LogicNet()- Introduce Some Constants
ll.constant("Rome")
ll.constant("Milan")
ll.constant("Italy")- Introduce Some Predicates and Knowledge
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
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
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.
