Getting started with NeurEco
============================

Installation
--------------

To download and install NeurEco 4.0, click on the relevant link:

Debian: `<https://www.adagos.com/neureco-4-0-debian>`_

Redhat: `<https://www.adagos.com/neureco-4-0-redhat>`_

Windows msi: `<https://www.adagos.com/neureco-4-0-windows-msi>`_

Windows portable: `<https://www.adagos.com/neureco-4-0-windows-portable>`_

MacOS arm: `<https://www.adagos.com/neureco-4-0-macos-arm>`_

For more details about the installation of Neureco, please refer to :std:ref:`Installing NeurEco`.

.. warning::
   Running NeurEco requires a license. Run the hardware_info command and send the resulting hardware_info.txt file to the Adagos team at this address: `support@adagos.com`

Using NeurEco
--------------

NeurEco offers two types of solutions: :std:ref:`NeurEco Tabular` and :std:ref:`NeurEco Dynamic`.
Each solution can be used from the following NeurEco interfaces:

* Graphical user interface (GUI)
* Python application programming interface (Python API)
* The command line interface
	
Regardless of the interface/solution used, there are three essential functions that NeurEco offers:

* Build a model by simply providing the dataset.
* Evaluate the model on new data sets
* Export the model for the deployment phase. The *embed* license allows to export to the standard formats.


The following flowchart gives a starting idea of which NeurEco template to choose for the problem at hand:

.. figure:: ../images/input_data.png
  :width: 800
  :alt: input_data
  :align: center

.. toctree::
   :maxdepth: 4

   QuickStart Solutions/NeurEco tabular regression quickstart tutorial
   QuickStart Solutions/NeurEco tabular classification quickstart tutorial
   QuickStart Solutions/NeurEco tabular compression quickstart tutorial
   QuickStart Solutions/NeurEco discrete dynamic quickstart tutorial