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Great question @govindjeevan 👍 ``` Should it be encapsulated by a function similar to fit, predict that is currently offered? eg. deepauto.explain(model, test_dataset=test) and this method configures the required library...

Hi @govindjeevan 👍 I totally agree with this part: ``` I was thinking of interfacing the function with both SHAP and LIME and allowing the user to configure which explainer...

Hi @govindjeevan 👍 I believe that there are other ways to pass the data to the TF model. You don't need to use a MapDataSet to make a prediction. You...

Hi @chekoduadarsh 👍 I have added you as a collaborator to this repository - once you accept the invite I will be able to assign a project I have created...

Hi @chekoduadarsh 👍 Any updates? AutoViML

Hi @chekoduadarsh 👍 I will test the code with a few classic time series datasets and then approve. thanks for the quick turnaround! AutoViML

Hi @trumboosahil 👍 Any updates? Do you still want to do this? AutoViML

Can you please check other tools such as PyCaret and see how they have implementing exporting models to AWS, Azure etc. I don't know how. That's why I am asking...

Hi @Fractal-Anaphora Thank you for trying out Deep AutoViML 👍 At the moment there is no option to disable EDA. If you can try sampling your data with a smaller...

Hi @KarateKat95 👍 This is a very good idea. Can you please create the changes in your forked version and submit a pull request with all the necessary changes? You...