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Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

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In order to generate baseline results, it would be useful if we could disable Exploratory Data Analysis.

## Issue I would like to take up the task to implement Seq2Seq models on deep_AutoViML. This will allow this library to perform operations like next word prediction, Text summarization...

if I'm loading the model from another instance. Can I use the predict function or since my model is a multiclass BERT model do I need to use predict_text? Sorry...

`dict` comprehension is faster than invoking the `dict` constructor