Text Prediction
===============

For supervised learning with text data, AutoGluon provides a simple `fit()` function that automatically produces high quality text prediction models. In the data, each training example may be a sentence, short paragraph, or be comprised of multiple text fields (e.g. predicting how similar two sentences are). The target values (labels) to predict may be continuous values (regression) or discrete categories (classification).  
A single call to `fit()` will train highly accurate neural networks on your provided text dataset,
automatically leveraging accuracy-boosting techniques such as fine-tuning a
pretrained BERT/ALBERT/ELECTRA model (transfer learning) and hyperparameter optimization.

.. container:: cards

   .. card::
      :title: Quick Start Using FIT
      :link: beginner.html

      Quickly get started with text prediction problems.

   .. card::
      :title: Customized Hyperparameter Search
      :link: customization.html

      How to control the hyperparameter-tuning process.

   .. card::
      :title: Heterogeneous data types
      :link: heterogeneous.html

      Train neural networks that jointly operate on 
      a mix of text, numerical, or categorical features.

.. toctree::
   :maxdepth: 1
   :hidden:

   beginner
   customization
   heterogeneous