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eli5
A library for debugging/inspecting machine learning classifiers and explaining their predictions
http://eli5.readthedocs.io
MIT License
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Feature suggestion: Look into using Jacobian representations for neural networks
#374
JulianFerry
opened
4 years ago
4
General question about Permutation feature importance
#373
seralouk
opened
4 years ago
2
KeyError: 'bias' while running show_weights(clf, vec=vec) in xgboost notebook
#372
SaiAparna1
opened
4 years ago
9
eli5 with CalibratedClassifierCV from sklearn.calibration
#371
skocbek
opened
4 years ago
1
Complete Grad-CAM, Transformers + SHAP (GSoC)
#370
teabolt
opened
4 years ago
0
RuntimeWarning: invalid value encountered in double_scalars when computing weights
#369
jimbudarz
closed
1 year ago
2
Occasional no highlight in show_prediction for images
#368
abedkhooli
opened
4 years ago
2
PermutationImportance returns score, larger than 1
#367
lyriccoder
opened
4 years ago
0
Error importing eli5
#366
Dola47
closed
4 years ago
0
BUG ? `eli5.show_weights` displayed standard deviation does not agree with the values in `feature_importances_std_`
#365
seralouk
closed
4 years ago
6
Line in unexpected format
#364
scottwthompson
opened
4 years ago
2
Update formatters.rst
#363
guyrosin
closed
1 year ago
1
Deprecation warning due to invalid escape sequences in Python 3.8
#362
tirkarthi
opened
4 years ago
0
`format_as_html(explain(prediction(...))` fails to show the highlighted text
#361
tsela
opened
4 years ago
20
Future Warning Error
#360
dangbluechip
opened
4 years ago
6
Sample weight sliced to work with cross validation, issue #358
#359
rg2410
closed
4 years ago
2
Permutation importance with sample weights and CV folds fails
#358
rg2410
closed
4 years ago
1
Explain CNN+LSTM Classification
#357
gabarlacchi
opened
4 years ago
3
explain_weights should support RFE/RFECV and other metaestimators
#356
hermidalc
opened
4 years ago
0
Upgrade version of mypy
#355
zzz4zzz
closed
4 years ago
4
xfail a test of lightning with pandas dataframes
#354
lopuhin
closed
4 years ago
1
scikit-learn 0.22 compatibility
#353
zzz4zzz
closed
4 years ago
2
Citation
#352
ghost
opened
4 years ago
1
LightGBM Category error
#351
gaosq0604
opened
4 years ago
3
show_weights() shows weights for only one class
#350
rvoak
opened
4 years ago
2
dependency and categorical data: it is not described in user manual doc what data and how generated
#349
Sandy4321
opened
4 years ago
3
Explain Prediction error
#348
rorcores
closed
7 months ago
0
ImportError: cannot import name 'singledispatch' from 'eli5.base_utils' (C:\Users\[NAME]\AppData\Local\Continuum\anaconda3\lib\site-packages\eli5\base_utils.py)
#347
TheXu
opened
4 years ago
0
DOC add a link to sklearn docs for "scoring" argument
#346
kmike
closed
4 years ago
1
AttributeError: module 'eli5' has no attribute 'show_prediction' only in Docker Image
#345
wesley-pattison
closed
4 years ago
5
<IPython.core.display.HTML object>
#344
mchirsa5
opened
4 years ago
0
Explain Prediction error
#343
PascalHessler
opened
4 years ago
1
Probabilities do not sum to 1 ValueError in show_predictions()
#342
aakaashjois
opened
4 years ago
2
pass groups of features eli5.sklearn.permutation_importance
#341
omarcr
opened
4 years ago
0
LightGbm explain_prediction results correct?
#340
ErnstDinkelmann
opened
4 years ago
1
assert fails when trying to explain lightgbm model
#339
ophiry
opened
4 years ago
0
predict_proba returns a single matrix, so tuple unpacking fails
#338
ophiry
opened
4 years ago
0
LIME for multiclass/multilabel explanations?
#337
Hellisotherpeople
opened
4 years ago
3
fast eli5.sklearn.permutation_importance?
#336
omarcr
opened
4 years ago
4
Error with explain_prediction_xgboost
#335
anthonymakela
closed
4 years ago
1
Install typing only for old python
#334
GuillemGSubies
closed
4 years ago
2
Prepare 0.10.0 release
#333
lopuhin
closed
4 years ago
0
explain_prediction_keras support for Keras tokenizer
#332
teabolt
opened
4 years ago
0
explain_prediction_keras support more types for doc
#331
teabolt
opened
4 years ago
0
Got completely different results when changing n_samples for TextExplainer
#330
kevinyang372
opened
4 years ago
0
(Keras images) Add an optional image argument, and other improvements
#329
teabolt
closed
4 years ago
8
Random Forest Classifier and explain_prediction
#328
OmerBelsky
opened
4 years ago
0
[WIP] Explain PyTorch neural nets with Grad-CAM
#327
teabolt
opened
4 years ago
2
eli5 installation crashing on python 3.7
#326
GuillemGSubies
closed
4 years ago
1
Explain text predictions of Keras classifiers
#325
teabolt
opened
4 years ago
14
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