BUG: 'tuple' object has no attribute 'as_list' about shap HOT 5 CLOSED

Thanks for reporting @Amirhossein4096 . Would you be so kind and provide an example that reproduces the issue? Your code is not complete since we cannot define the model in it. Would be great if you could trim your code down to the minimal steps needed to produce this bug.

from shap.

I am using same versions of TensorFlow and Shap. With a LSTM model, I've received same error:

AttributeError Traceback (most recent call last)
Cell In[51], line 11
9 background=shap.sample(scaled_train_X,100)
10 # Create the SHAP DeepExplainer using the model and the reshaped background dataset
---> 11 explainer = shap.DeepExplainer(model, background)
13 # Calculate SHAP values for the reshaped test set
14 shap_values = explainer.shap_values(scaled_test_X)

File ~\AppData\Local\anaconda3\Lib\site-packages\shap\explainers_deep_init_.py:90, in DeepExplainer.init(self, model, data, session, learning_phase_flags)
87 super().init(model, masker)
89 if framework == 'tensorflow':
---> 90 self.explainer = TFDeep(model, data, session, learning_phase_flags)
91 elif framework == 'pytorch':
92 self.explainer = PyTorchDeep(model, data)

File ~\AppData\Local\anaconda3\Lib\site-packages\shap\explainers_deep\deep_tf.py:172, in TFDeep.init(self, model, data, session, learning_phase_flags)
170 self.phi_symbolics = [None]
171 else:
--> 172 noutputs = self.model_output.shape.as_list()[1]
173 if noutputs is not None:
174 self.phi_symbolics = [None for i in range(noutputs)]

AttributeError: 'tuple' object has no attribute 'as_list'

from shap.

@NanK77 would you be so kind to share code so that we can reproduce the issue? We need a definition of the data (at best a minimal set of row) and code to construct the model.

from shap.

I'm also running into this issue- I can't really share code that reproduces the issue because I work in health tech, but the inputs to shap.DeepExplainer are a 3 layer model trained in tensorflow:
simple_nn = Sequential()
simple_nn.add(Dense(256, activation='relu', input_shape=(len(self.feature_names),)))
simple_nn.add(Dense(256, activation='relu'))
simple_nn.add(Dropout(0.2))
simple_nn.add(Dense(256, activation='relu'))
simple_nn.add(Dense(1, activation='sigmoid'))

and a dataframe of numerical features with no nans

can someone let me know if they found a workaround for this?

Here's the exact error I'm getting

AttributeError Traceback (most recent call last)
Cell In[60], line 3
1 import shap
----> 3 explainer = shap.DeepExplainer(nn_model, X_train)
4 shap_values = explainer.shap_values(X_test)

File /opt/conda/lib/python3.10/site-packages/shap/explainers/_deep/init.py:84, in DeepExplainer.init(self, model, data, session, learning_phase_flags)
81 framework = 'tensorflow'
83 if framework == 'tensorflow':
---> 84 self.explainer = TFDeep(model, data, session, learning_phase_flags)
85 elif framework == 'pytorch':
86 self.explainer = PyTorchDeep(model, data)

File /opt/conda/lib/python3.10/site-packages/shap/explainers/_deep/deep_tf.py:172, in TFDeep.init(self, model, data, session, learning_phase_flags)
170 self.phi_symbolics = [None]
171 else:
--> 172 noutputs = self.model_output.shape.as_list()[1]
173 if noutputs is not None:
174 self.phi_symbolics = [None for i in range(noutputs)]

AttributeError: 'tuple' object has no attribute 'as_list'

from shap.

Sorry, should have known this before, but we currently do not support tensorflow 2.16 right now. See https://github.com/shap/shap/blob/master/pyproject.toml#L74. Will close this here, since support of tf 2.16 and keras 3 is way more complicated than this here. See the mentioned issue #3672

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