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marcotcr
Lime: Explaining the predictions of any machine learning classifier
Hi all, my image z is of size (128, 128, 1). Since my model only takes image(s) of shape (x,128,128,1), I modified the 'lime_image.py' accordingly to #116. **When I hit**...
Given the sentence: > The cat is a bad cat. The current `explain_instance` returns: ``` [('bad', 0.023544989987054128), ('The', -2.223453279269586e-06), ('cat', -2.0328098267135788e-06), ('a', -1.29583902574453e-06), ('cat', -1.2776487837649124e-06), ('is', -1.1776258015649435e-06)] ``` The order...
I have a randomForest model and when I run explainer
Normally, I'm writing questions on Stackoverflow; unfortunately, often nobody replies to these more or less specific questions. If my question does not belong here, please be gentle and point me...
Using: lime: ? (presumably newest, does not have a __version__ attribute) skimage 0.18.1 tensorflow: 2.4.0-rc0 numpy: 1.19.5 ```python from lime.lime_image import LimeImageExplainer explainer = LimeImageExplainer explanation = explainer.explain_instance( images["dog"], inception_model.predict,...
I'm using Logistic Classifier on a categorical dataset and after I did everything right, I got the following error: NotImplementedError Traceback (most recent call last) /tmp/ipykernel_33/3771634090.py in 2 k=5 3...
I am using a random forest classifier for binary classification with 977 records and class proportion of 77:23. I am using Lime explainer to explain the predictions made by the...
Hi everybody. Since i am training models that present multiple dependant variables, i was wondering if Lime supports this kind of problems, and eventually how to obtain them. I am...
Hi I was wondering if there is any way to change the deafult blue/orange colors for binary classifiaction explanation? I would appreciate any help
I also have a same question as asked by Abbas (#570) and following the same steps. I am using tabular data with 1D CNN model and trying to use Lime...
