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Integrated Gradients and Embedding layer

1

I would like to calculate feature importances using integrated gradients, as I am hoping this calculation will be faster than the SHAP KernelExplainer. Unfortunately, the embeddding layer is non-differentiable, since...

gladomat

Question: For some models, only categrical inputs passed on. Why?

3

I was wondering, when I set up a model, for example a Wide and Deep model with an AutoInt Net and a CIN Net, only the Wide and Deep model...

gladomat

SHAP values with DeepTables

3

I want to use SHAP values (https://github.com/slundberg/shap) to get feature importances. I thought of using the KernelExplainer. The problem that I encouter is that the embeddings of categorical variables are...

gladomat

When ModelConfig.distribution_strategy is turned on, the trained model predict will report an error > “ValueError: predict is not supported in multi-worker mode”

jackguagua

Update for tensorflow 2.3.0

1

Hello! Do you plan to update the release for tensorflow 2.3.0 anytime soon? Regards.

Frank995

How to get class assignment for columns for predict_proba?

2

predict_proba returns probabilities for corresponding classes and user needs to know the class correspondence. In other frameworks this information is accessible through .classes_ instance variable of estimator. Is there anything...

nadiiach

some bugs in class DefaultPreprocessor

1

Here, class DefaultPreprocessor, fit_transform method, {if copy: # TODO bug here X = copy.deepcopy(X) y = copy.deepcopy(y)} . the copy may be copy_data.

CyrilZhao-sudo

Load saved models doesn't find MultiColumnEmbedding layer

2

I tried loading a saved model but it can't load it and instead gives an error: `from tensorflow.keras.models import load_model mod_path = 'model_1.h5' load_model(mod_path)` The error: `ValueError: Unknown layer: MultiColumnEmbedding`

gladomat

No module named 'woodwork.serialize'

7

This template is for miscellaneous issues not covered by the other issue categories. I cannot run the example. When I run 'from deeptables.models.deeptable import DeepTable, ModelConfig', I will get this...

KJTang94

模型保存路径有问题

3

dt.save('/Users/wjq/Downloads/dtxx') 我把模型保存在'/Users/wjq/Downloads/dtxx'这个路径下，但这个路径下却为空。 w=dt.load('/Users/wjq/Downloads/dtxx'),当我从'/Users/wjq/Downloads/dtxx'这个路径load模型时发现其实deeptable并不是从'/Users/wjq/Downloads/dtxx'load模型的，而是从'/var/folders/g9/nwf7rmdd3nlfszr22lfg4lhc0000gn/T/workdir/Users/wjq/Downloads/dtxx/dt.pkl'这个路径下load模型的，请告诉我如何让模型保存在我指定的路径下 w=dt.load('/Users/wjq/Downloads/dtxx') Traceback (most recent call last): File "/Applications/anaconda3/lib/python3.7/site-packages/IPython/core/interactiveshell.py", line 3457, in run_code exec(code_obj, self.user_global_ns, self.user_ns) File "", line 1, in w=dt.load('/Users/wjq/Downloads/dtxx') File "/Users/wjq/wjq_home/hypergbm_venv/lib/python3.7/site-packages/deeptables/models/deeptable.py", line 801, in load...

wangjianqiao111