Cian-H/symbolic_nn_tests
1
0
Fork 0
mirror of https://github.com/Cian-H/symbolic_nn_tests.git synced 2025-12-22 22:22:01 +00:00
Code Issues Packages Projects Releases Wiki Activity

minor tweak to expt3 plan

Browse Source
This commit is contained in:
Cian Hughes
2024-06-28 14:13:19 +01:00
parent d40176a856
commit 2c1e9aada0
2 changed files with 3 additions and 3 deletions
Download Patch File Download Diff File Expand all files Collapse all files

2
README.md
View File

@@ -101,7 +101,7 @@ This is a testing sandbox for developing various methods of injecting symbolic k
## Experiment 3 - Tensor Logic Network (TLN)
- Revisiting QMNIST from Expt1 but using TLN instead of SLF.
- Using LTNtorch library, as manually defining logical constraints would be a pain here.
- Using LTNtorch library or maybe Scallop lang, as manually defining logical constraints would be a pain here.
- Will create formalised logic definitions of non-fuzzy relations manually embedded in Expt1:
- Numbers with Lines:
```math

4
symbolic_nn_tests/__main__.py
View File

@@ -2,10 +2,10 @@ import typer
from typing import Optional, Iterable
from typing_extensions import Annotated
from loguru import logger
from . import experiment1, experiment2
from . import experiment1, experiment2, experiment3
EXPERIMENTS = (experiment1, experiment2)
EXPERIMENTS = (experiment1, experiment2, experiment3)
def parse_int_or_intiterable(i: Optional[str]) -> Iterable[int]: