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A library for debugging/inspecting machine learning classifiers and explaining their predictions

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I have trained a binary classification model with Keras on a custom dataset. Want to check what is in the image that made the model predict a certain class over...

Hi, I wanted to generate the explain_prediction_df for each of my observations in a test set, but when I loop over it it crashes eventually. for i in range(len(X_test)): eli5.explain_prediction_df(clf,...

eli5 fails when booster.feature_names is `None`, which is now the default behavior in xgboost when passing in a vanilla numpy array. ```python TypeError: 'NoneType' object is not iterable ``` See...

When using Jinja2 3.1.2 and scikit-learn 1.0.2, the following errors occurred: - AttributeError: module 'jinja2.ext' has no attribute 'with_' - ModuleNotFoundError: No module named 'sklearn.metrics.scorer' - ModuleNotFoundError: No module named...

When importing eli5, I receive the error shown below. I have version 0.11.0 installed and use Python 3.10 ``` Traceback (most recent call last): File "C:\Users\user\PycharmProjects\resume keywords\main.py", line 2, in...

Installing eli5 in a blank environment installs jinja2 in version 3.1.1 which leads to the following error: ``` >>> import eli5 Traceback (most recent call last): File "", line 1,...

When I call the function `explain_prediction_lightgbm` on my lightgbm booster model, `eli5.lightgbm.explain_prediction_lightgbm(model1, doc=example, feature_names=list(example.index))` where model1 is `` , example is ``, and `list(example.index)` is a list of string of...

Is there a way to make: `perm = PermutationImportance(estimator, cv='prefit', n_iter=1).fit(X_window_test, Y_test) ` fast? currently I am running an experiment with 3,179 features and the algorithm is too slow (even...

https://github.com/puttak/Green-Hydrogen-for-Steel-Making/blob/master/Cost_Estimation_Module_v7.m