---
title: "A Look at AutoML Models in the Platform"
canonical: "https://onesaitplatform.refined.site/space/DOCT/3676667905/A%20Look%20at%20AutoML%20Models%20in%20the%20Platform"
format: markdown
---
# Goal

With this functionality, you will be able to select the attributes of an Entity (or make an SQL query on one or several entities) and create and train a learning model, which will allow you to predict another attribute.

Besides, these models can be APIfied through the API Manager

# How it works on the Platform

There is a new feature, “**My AutoML Predictors”**:

![image](media://6094f8ec-3645-4c54-995d-614086ea7ae1)

in which you can see my Predictors and the state in which they are:

![image](media://113667db-246d-4e5a-9fff-558ae5612dcf)

You can also create a Predictor on an Entity, selecting the input attributes to the model of an ontology or a SQL query on one or several Entities, and selecting the field to be predicted:

![image](media://e12f5885-44ec-4fc2-bcc9-46c458767ce2)

you can see how the model is being trained:

![image](media://ef108f86-47de-402d-87f4-bc608aff2a1d)

and at the end you will see the selected model among the tested ones and its accuracy:

y al concluir veré el modelo seleccionado entre los probados y su accuracy:

![image](media://975c75e3-193a-4ea6-a114-b3ff6f3d39b4)

If you click on the detail, you can see more information:

![image](media://34a7cb84-15b0-4377-b8bb-586f82658cab)

And you will now be able to query the predictions, for example from the QueryTool:

`SELECT * FROM iris_predictor2 where when_data='{"sepal_length":5.1, "sepal_width":3.5, "petal_length": 1.4, "petal_width":0.2}'`

![image](media://d944964b-3cd3-4370-b2c5-18af3de0f578)