Hello,
Considering your amazing efficiency on pandas, numpy, and more, it would seem to make sense for your module to work with even bigger data, such as Audio (for example .mp3 and .wav). This is something that would help a lot considering the nature audio (ie. where one of the lowest and most common sampling rates is still 44,100 samples/sec). For a use case, I would consider vaex.open('Hu

How do i resume training for text classification?

Can you include an example in the docs of how to use Elements?

I don't understand how to the config management fits into Auto and fit or am I not supposed to use a custom config with Auto?

is the Elements just the internal structure that you use to store a config json or am I supposed to create an Elements object then update values in that?

As @csala mentioned in #24 it would be good to check that discrete_columns list is valid at the beginning of fitting instead of silently ignoring invalid columns then throwing an error later in the fitting process.

What I Did

Would something similar to this at the beginning of fitfunction work? :

for col in 

Currently, the logger is just print statements, use the built-in logging module in python and remove the need of Hide_logs() class.

Entry point is at verbose parameter for query_db().

@abhijitramesh Kindly take this over