pietrobarbiero / logic_explained_networks

Logic Explained Networks is a python repository implementing explainable-by-design deep learning models.

Hello! I'm Pietro, Research Assistant and Ph.D. candidate at the University of Cambridge (Clare College).

• 🔭 My research activity focuses on explainable artificial intelligence, deep learning, and neuro-symbolic models.

• 🔎 My current projects are related to concept learning and reasoning.

• 🔗 For more info about my work, please visit my website.

logic_explained_networks's Issues

No module named 'lens.models.ext_models.brl'

I was trying to run the example in the Read Me and I got this error:
ModuleNotFoundError Traceback (most recent call last)
[c:[path]]Code_Lens.ipynb Cell 2 in ()
----> 1 import lens
2 import torch
3 import numpy as np

File c:[path]\logic_explained_networks\lens_init_.py:2, in
1 from . import utils
----> 2 from . import models
3 from . import logic
4 from . import utils

File c:[path]\logic_explained_networks\lens\models_init_.py:5, in
3 from .mu_nn import XMuNN
4 from .anchors import XAnchorClassifier
----> 5 from .brl import XBRLClassifier
6 from .logistic_regression import XLogisticRegressionClassifier
7 from .tree import XDecisionTreeClassifier

File c:[path]\logic_explained_networks\lens\models\brl.py:14, in
11 from tqdm.auto import tqdm
13 from .base import BaseClassifier, ClassifierNotTrainedError, BaseXModel
---> 14 from .ext_models.brl.RuleListClassifier import RuleListClassifier
15 from ..utils.base import NotAvailableError, brl_extracting_formula
16 from ..utils.metrics import Metric, Accuracy

ModuleNotFoundError: No module named 'lens.models.ext_models.brl'

Not able run example in readme.

Dear authors,

I've been trying to run the example given in the readme page. But I am getting an error due to imports from lens.

I am not able to find the test_explanation from lens.logic

No module named 'lens.models.ext_models.anchor'

ModuleNotFoundError Traceback (most recent call last)
Cell In[1], line 7
4 import numpy as np
5 import matplotlib.pyplot as plt
----> 7 from lens import logic
8 # from ...lens import logic
10 torch.manual_seed(0)

File E:\learn\interpretability\logic_rule\logic_explained_networks-master\lens_init_.py:2
1 from . import utils
----> 2 from . import models
3 from . import logic
4 from . import utils

File E:\learn\interpretability\logic_rule\logic_explained_networks-master\lens\models_init_.py:4
2 from .relu_nn import XReluNN
3 from .mu_nn import XMuNN
----> 4 from .anchors import XAnchorClassifier
5 from .brl import XBRLClassifier
6 from .logistic_regression import XLogisticRegressionClassifier

File E:\learn\interpretability\logic_rule\logic_explained_networks-master\lens\models\anchors.py:17
14 from tqdm import tqdm
16 from lens.logic import replace_names, test_explanation
---> 17 from lens.models.ext_models.anchor.anchor_tabular import AnchorTabularExplainer
18 from lens.utils.datasets import StructuredDataset
19 from .base import BaseClassifier, ClassifierNotTrainedError, BaseXModel

ModuleNotFoundError: No module named 'lens.models.ext_models.anchor'