deep_autoviml
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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.
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