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

Issue

I am getting a segmentation fault when running the following import statement

from autogluon.tabular import TabularPrediction

and segmentation fault: 11 when running

from autogluon.text import TextPrediction

I am using a recent branch of autogluon, installed in a clean virtual environment: autogluon version 0.0.16b20210120

Environment

Either on/off or maybe a frequency (e.g. every N epochs)

-Currently the feature supports csv files only. However, integrating more dataframes is easy. Go through the get_dataframe() method in data_utils.py and include support to detect the incoming file and parse the dataframe from it.