.. _NeurEco tabular classification quickstart tutorial:

NeurEco Tabular Classification quickstart tutorial
===================================================

This quickstart tutorial gives a first glance on how to **Build**, **Evaluate** and **Export** a model for **Tabular Classification** problem. 
See :std:ref:`Classification` for a full documentation on the **Tabular Classification** and all its functionalities.

The following tutorials use a test case provided with NeurEco installation: :std:ref:`RNA in quickstart`.

Choose the interface to work with:

.. toctree::
   :maxdepth: 1
   
   TabularClassificationQuickstart/GUI Classification quickstart
   TabularClassificationQuickstart/Python API Classification quickstart
   TabularClassificationQuickstart/Configuration file Classification quickstart


.. note::
	The outputs of a NeurEco Classification problem have to be provided in a one-hot encoded version of the labels.