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marcotcr
Lime: Explaining the predictions of any machine learning classifier
I've noticed that a few people are talking about using LIME with TensorFlow models. There was an issue, which was addressed before, but I believe this tutorial can provide a...
Dear Team, @marcotcr, first of all, thank you for your great work! I am facing an issue, following [your instructions on Submodular Pick](https://github.com/marcotcr/lime/blob/master/doc/notebooks/Submodular%20Pick%20examples.ipynb). Any help/suggestion would be highly appreciated! My...
I see this error when running `show_in_notebook()`: ```python /opt/miniconda3/lib/python3.9/site-packages/lime/explanation.py:194: DeprecationWarning: Importing display from IPython.core.display is deprecated since IPython 7.14, please import from IPython display from IPython.core.display import display, HTML ```...
I read the Lime with RNN demo. In that program, Lime generated explanations for 'co2' and 'co2_detrended' of each timestep. In my dataset, each timestep has more features and I...
Small PR to add a dict that is passed to classifier to enable additional arguments
I find something wrong in the classifiers for tabular data,(https://marcotcr.github.io/lime/tutorials/Tutorial%20-%20continuous%20and%20categorical%20features.html) 'sklearn.preprocess.OneHotEncoder(categorical_features = categorical_features)' this can not be runned. it shows"Pass categories=[1,3,5,6,7,8,9,13] as keyword args. From version 1.0 (renaming of 0.25)...
LIME is a great package for explaining model's decisions and worked great until now. However I just used it to explain my model's prediction on a classic disasters tweet classification...
Please help me in this reagar Thanks..
Hi I've been reading the source code of the LIME method, but I didn't understand precisely how a ridge regression classifier is used to classify images. To demonstrate my question...
