.. _sec_multimodal_faq:

FAQ
===


There is no internet access in my deployment environment. What should I do?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

When you have trained the predictor, try to save it with

.. code:: python

   predictor.save(SAVE_PATH, standalone=True)

Afterwards, the following ``.load()`` call can happen without internet
access:

.. code:: python

   from autogluon.multimodal import MultiModalPredictor

   predictor = MultiModalPredictor.load(SAVE_PATH)

Do I need to preprocess my text or image data before using AutoGluon Multimodal?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Usually you do not need to preprocess the text / image data. AutoGluon
Multimodal has built-in support of text / image preprocessing. However,
this won’t block you from appending custom preprocessing logic before
feeding in the dataframe to AutoGluon Multimodal.

Is it possible to customize AutoGluon Multimodal?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Yes, check our tutorial at :ref:`sec_automm_customization`.

Can I use AutoGluon Multimodal in Kaggle Competitions?
~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~

Yes, we provided a script for building a standalone runnable package of
AutoGluon: `AutoGluon Multimodal Kaggle Standalone
Package <https://www.kaggle.com/code/linuxdex/get-autogluon-standalone>`__.
We used this script in our examples about `Petfinder
Pawpularity <https://github.com/autogluon/autogluon/tree/master/examples/automm/kaggle_pawpularity>`__
and `Feedback Prize - Predicting Effective
Arguments <https://github.com/autogluon/autogluon/tree/master/examples/automm/kaggle_feedback_prize>`__.
You may refer to these examples for more details.