minor tweak to expt3 plan

This commit is contained in:
2024-06-28 14:13:19 +01:00
parent d40176a856
commit 2c1e9aada0
2 changed files with 3 additions and 3 deletions

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@@ -101,7 +101,7 @@ This is a testing sandbox for developing various methods of injecting symbolic k
## Experiment 3 - Tensor Logic Network (TLN) ## Experiment 3 - Tensor Logic Network (TLN)
- Revisiting QMNIST from Expt1 but using TLN instead of SLF. - 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: - Will create formalised logic definitions of non-fuzzy relations manually embedded in Expt1:
- Numbers with Lines: - Numbers with Lines:
```math ```math

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