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thomasp85
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lime
Local Interpretable Model-Agnostic Explanations (R port of original Python package)
https://lime.data-imaginist.com/
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remove unused stringdist dependency
#94
ChrisMuir
closed
6 years ago
1
Add a way to add extra information in `explain`
#93
thomasp85
opened
6 years ago
0
Need clarification of 'new observations x' requirement when using keras model
#92
mjg4243
opened
6 years ago
0
plotting fearures with LIME
#91
Nadu123
closed
6 years ago
0
Why do we use random sampling? Can we use training set data instead of that? What is the reason to permuting data?
#90
DiliSR
opened
6 years ago
1
x should be a matrix with 2 or more columns eeror when building explanation
#89
Nadu123
closed
6 years ago
1
Questions on LIME implementation
#88
rajafan
closed
6 years ago
3
Trouble with "plot_features" in lime
#87
jra4851
opened
6 years ago
1
Set magick dependency as suggest
#86
pommedeterresautee
closed
6 years ago
2
Cannot call the function predict_model.xgb.Booster
#85
DiliSR
opened
6 years ago
1
Can lime explain xgboost models with count:poisson objective function?
#84
SimonCoulombe
opened
6 years ago
3
How to change discretization using mdlp
#83
DiliSR
closed
6 years ago
4
Problem installing LIME from CRAN...
#82
sfd99
closed
6 years ago
16
R vs Python Implementations
#81
goodekat
closed
6 years ago
2
Image Explanation
#80
thomasp85
closed
6 years ago
0
Update readme
#79
thomasp85
closed
6 years ago
0
How to define the model_type for Non supported Models
#78
satya-dasara
closed
6 years ago
1
Add model R2 to plot
#77
thomasp85
closed
6 years ago
1
Explanation plot needs some explanations
#76
scalastic
closed
6 years ago
2
Unknown feature Error for logical column type
#75
rpatel3105
closed
6 years ago
2
don't assume a normal distribution for continuous features
#74
thomasp85
closed
6 years ago
0
consider using gower proximity as similarity measure
#73
thomasp85
closed
6 years ago
0
Update README.Rmd
#72
grayskripko
closed
6 years ago
1
Example for predicting success/failure and multiclass ordinal problems
#71
sheffe
opened
6 years ago
1
The explain() gives a maximum of only 9 features for explanation
#70
sourabhsparkala
closed
6 years ago
6
error
#69
Bakkerdaan
closed
6 years ago
2
Various questions
#68
kaas66
opened
6 years ago
2
lime::lime error
#67
patarol
closed
6 years ago
2
Slow with thousands of features
#66
johanneswaage
opened
6 years ago
15
Error in UseMethod("lime") : no applicable method for 'lime' applied to an object of class "H2OFrame"
#65
crawfordwsc
closed
6 years ago
10
can not install lime package under linux system
#64
keycai
closed
6 years ago
2
Problem using LIME with XGBoost
#63
next-josealbertoarcos
closed
6 years ago
0
Support for time series recurrent neuronal networks
#62
Tazinho
closed
6 years ago
2
Update README.Rmd
#61
maelle
closed
6 years ago
0
Error in plot_explanations() function with a regression model - Error in combine_vars(data, params$plot_env, vars, drop = params$drop) : At least one layer must contain all variables used for facetting
#60
andresrcs
closed
6 years ago
1
The result is not repeatable
#59
shail70
closed
6 years ago
1
Problems with missing values (NA) with caret created GBM model
#58
dkincaid
closed
6 years ago
2
Mark constant numeric features as such and treat them as constants
#57
thomasp85
closed
6 years ago
0
Error: All permutations have no similarity to the original observation. Try setting bin_continuous to TRUE and/or increase kernel_size
#56
YonasK95
closed
6 years ago
11
Lime Error in y[1, ] incorrect number of dimensions
#55
steviebear
closed
6 years ago
2
Date support
#54
thomasp85
closed
7 years ago
0
can support the function like "lime_text" from python?
#53
datalee
opened
7 years ago
8
Error with h2o.xgboost()...
#52
coforfe
closed
6 years ago
4
Error using H2O with xgboost (and gbm)....
#51
coforfe
closed
7 years ago
1
Error using H2O xgboost model
#50
dkincaid
closed
7 years ago
4
Error in y[1, ] : incorrect number of dimensions
#49
ssobel
closed
7 years ago
6
Error in UseMethod("explain") : no applicable method for 'explain' applied to an object of class "character"
#48
AMANSINGHPRO
closed
7 years ago
2
Error in explain function with H2O GBM regression model - Error in if (r2 > max) { : missing value where TRUE/FALSE needed
#47
andresrcs
closed
7 years ago
4
Error in explain function with H2O GBM regression model - Error in if (r2 > max) { : missing value where TRUE/FALSE needed
#46
andresrcs
closed
7 years ago
4
Error during explain with H2O GBM/XGB models - "NA/NaN/Inf in 'x'"
#45
dkincaid
closed
7 years ago
7
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