Questions tagged [lime]

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Interpretation of agnostic models

I am trying to interpret a black box model. This model is a random forest that I am using to make predictions. I have read that LIME is a way to interpret black box models, but I don't quite know how ...
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How to print 2-ngrams in LimeTextExplainer

I try to explain the importance of a sentence using the following pipeline with LimeTextExplainer from LIME package. ...
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Lime explainer - Numpy broadcast error

I am working on a ML tutorial project with my own dataset. I built a ML model using training dataset and generated predictions using test dataset. Shape of test dataset is (418,10) My code for model ...
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Is it possible to to only use only a training data sample for creating a LIME model explainer?

I have been looking into outputting a model explainer artefact at time of training my Keras+Tensorflow Neural network. Lime seems like a great choice however my data is very big and I am reading from ...
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Beginner level: how to interpret LIME and classification result

I am new to the concept of model interpretability using LIME method. I am following the tutorial LIME for spectrogram classification. I am finding hard to understand the color coding -- before using ...
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LimeTextExplainer for MultiClass classification - Facing issue for explain instance with custom classifier function

exp = explainer.explain_instance(df_val_final.Description[idx],predproba_list,num_features=5, top_labels=2) While executing the explain instance of ...
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Need for LIME explainer

Is it possible to train a LIME explainer for a binary classfier on a dataset without labels? I need to understand what is the value of storing a LIME explainer object trained on the same data used to ...
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Passing reduced/different feature data to LimeTabularExplainer compared to the original model

I am trying to use LimeTabularExplainer class and explain_instance function to find explainations of my LightGbm (lgb) model. However, the lgb model uses complex feature set which are not ...
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Ways to visualize the outcome of machine learning interpretability techniques (for image classification)

“Machine Learning Interpretability” or “Explainable Artificial Intelligence” has become quite popular in the machine learning community and in recent research. The goal is to make complex (deep ...
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Spam/ham classification

I am exploring the use of lime for spam/ham categorisation. specifically I have a data frame having list of messages. I would need to identify which messages are spam and which ones are ham by using a ...
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Multi-valued categorical features in LIME

I am working with the LIME implementation by Marco Ribeiro (https://github.com/marcotcr/lime). Specifically, I am utilizing the LimeTabularExplainer as I have a mixture of numerical and categorical ...
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LIME is observing categorical features even though I am not passing any categorical features

Here is the code: ...
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