I am working on binary classification and trying to explain my model using SHAP framework. I am using logistic regression algorithm. I would like to explain this model using both KernelExplainer and LinearExplainer. So, I tried the below code from SO here This threw an error as shown below AssertionError: Unk…
Tag: shap
SHAP import local_accuracy
I’m trying to test metrics from the shap library https://github.com/slundberg/shap/blob/master/shap/benchmark/metrics.py I tried calling metrics like this : But am always getting the error : Answer Try instead: Why? Inspecting package’s top level __init__.py you’ll find out the following com…
How to get SHAP values for each class on a multiclass classification problem in python
I have the following dataframe: For which I want to run a classification algorithm in order to predict the 3 classes So I split my dataset into train and test and I run an xgboost Now I would like to get the mean SHAP values for each class, instead of the mean from the absolute SHAP values generated from this
Why are shap values changing every time I call shap.plots.beeswarm?
So here’s my code using shap : Since I just plot three times the same shape values, I’d expect the three plots to be the same. However, it keeps on changing. After some research, it seems that a new value appear at the top at each call, but why ? Is it a bug in shap ? Edit 1 :
In Leave One Out Cross Validation, How can I Use `shap.Explainer()` Function to Explain a Machine Learning Model?
Background of the Problem I want to explain the outcome of machine learning (ML) models using SHapley Additive exPlanations (SHAP) which is implemented in the shap library of Python. As a parameter of the function shap.Explainer(), I need to pass an ML model (e.g. XGBRegressor()). However, in each iteration o…
Does SHAP in Python support Keras or TensorFlow models while using DeepExplainer?
I am currently using SHAP Package to determine the feature contributions. I have used the approach for XGBoost and RandomForest and it worked really well. Since the data I am working on is a sequential data I tried using LSTM and CNN to train the model and then get the feature importance using the SHAP’…