marcotcr lime issues - Githubissues

marcotcr / lime

Lime: Explaining the predictions of any machine learning classifier

BSD 2-Clause "Simplified" License

11.54k stars 1.8k forks source link

issues

Newest

Newest Most commented Recently updated Oldest Least commented Least recently updated

Saving the output of show_in_notebook as static image

#753 payamv3 opened 1 month ago
0
correction in data_labels function

#752 eduardoafonso1089 opened 2 months ago
0
Met the issue about TypeError when using lime_image.LimeImageExplainer()

#751 CorleoneJW opened 2 months ago
0
Inverse scaling/ normalization to get actual unscaled values in explanation : Old issue but I made a way around

#750 ShahrinNakkhatra-optimizely opened 2 months ago
0
update Python support

#749 rootsmusic opened 3 months ago
0
LIME and multi-correlated variables

#748 elopezfune opened 3 months ago
0
Question: using LIME for text generation

#747 dyomed93 opened 4 months ago
1
RecurrentTabularExplainer for regression task

#746 sujanme25 opened 4 months ago
0
added optional background color for darkmode

#745 AndreasKarasenko opened 5 months ago
0
How to handle binary features

#744 loukasilias opened 5 months ago
0
Distances derivation, explain_instance() method in Tabular LIME

#743 SamiRawash opened 5 months ago
0
Added Stratified Sampling instead of Monte Carlo Sampling

#742 rashidrao-pk opened 5 months ago
0
How to use lime with 3 dim time series data and lstm

#741 CynthiaLong opened 6 months ago
0
Issues with LIME Implementation in Image Classification

#740 SouCh305 opened 7 months ago
0
Unexpected keyword argument 'progress_bar' for lime_image.LimeImageExplainer().explain_instance()

#739 momchilgeorgiev opened 7 months ago
0
importance score for all tokens

#738 JINHXu opened 8 months ago
0
`show_in_notebook` shows no bars

#737 JINHXu opened 8 months ago
0
Getting error when my predict_fn is actually a method from a class

#736 ShahrinNakkhatra-optimizely opened 9 months ago
1
ans = self.domain_mapper.map_exp_ids(self.local_exp[label_to_use], **kwargs) KeyError: 1

#735 Drjacky opened 9 months ago
0
submodular pick

#734 LatikaMeelu opened 9 months ago
0
Trying to explaine a simple Neural Network using LIME

#733 omaruno opened 10 months ago
1
Update explanation.py to add dpi feature (Explaination.as_pyplot_figure)

#732 apoplexi24 opened 11 months ago
0
How to explain prediction for a data with just a few features (from all features of training dataset)?

#731 williamty opened 11 months ago
2
Can LIME only be used for text classification tasks?

#730 DenuwanClouda opened 1 year ago
0
Is this Repo Maintained?

#729 MohammedAlsayed opened 1 year ago
2
Implement Dark Mode for explanation.show_in_notebook method

#728 ajwells128 opened 1 year ago
3
Skmultilearn binary relevance produces sparse output.

#727 MaazBinMusa opened 1 year ago
0
Multi_Label_Classification

#726 MaazBinMusa closed 1 year ago
0
ValueError: Found input variables with inconsistent numbers of samples: [5000, 20000] ? how does this occur is soemthing wrong with my tokeniser ?

#725 Achinth04 opened 1 year ago
0
ImportError: cannot import name 'QhullError' from 'scipy.spatial'....

#724 Anan5a opened 1 year ago
0
Value error for more then one word ? any work through ?

#723 Achinth04 opened 1 year ago
0
Lime consuming too much RAM for explanations for layoutLM

#722 Achinth04 closed 1 year ago
1
TypeError: TextEncodeInput

#721 nipunikajain opened 1 year ago
0
How can explanation data be inverse normalized?

#720 StijnBerendse opened 1 year ago
1
How to explain seq2seq model using lime?

#719 noobanti opened 1 year ago
0
Tensorflow bert and lime

#718 GiannisHaralabopoulos opened 1 year ago
1
the output mapping of the explain_instance from lime does not match num_features

#717 jaycej1 closed 1 year ago
1
LIME for 1D signals

#716 ansariyusuf opened 1 year ago
0
mark_boundaries failed to read the original input image as background

#715 y-sheng opened 1 year ago
0
What's the interpretation of a value for a numerical feature?

#714 rrags opened 1 year ago
1
Feature width not enough in notebook output -> cut with "..."

#713 leoncena opened 1 year ago
0
Can we set the Ridge penalty number?

#712 singsinghai opened 1 year ago
0
Problem about explaning classifier from Nimbusml package.

#711 chenz1hao opened 1 year ago
0
3d input feature supported?

#710 makovez opened 1 year ago
0
LimeTabularExplainer.explain_instance - model_regressor parameter

#709 PaschalisLagias opened 1 year ago
0
Inverse operation in mean-centering and scaling in sampling

#708 yap231995 opened 1 year ago
0
Can the sampling around an instance method be part of the utils?

#707 HardikPrabhu closed 1 year ago
0
Problems with implementing LIME, can't get binary 0 or 1 outputs, only probabilities

#706 Ostlimpa opened 1 year ago
0
Add predict_fn_accept_dense_only to explain_instance when input is sparse but model takes dense

#705 BinDong314 opened 1 year ago
1
background/filter dataset in LIME

#704 BinDong314 opened 1 year ago
1