Auto ML

The Auto ML tab allows the users to create various experiments on top of their datasets and list all the created experiments.

Automated Machine Learning (AutoML) is a process that involves automating the selection of machine learning models and hyperparameters tuning. It aims to reduce the time and resources required to develop and train accurate models by automating some of the time-consuming and complex tasks.

The Auto ML feature provided under Data Science Lab is capable of covering all the steps, from starting with a raw data set to creating a ready-to-go machine learning model.

An Auto ML experiment is the application of machine learning algorithms to a dataset. The Create Experiment option is provided on the Data Set list page.

Check out the given illustration to understand the step-by-step flow of the Auto ML.

Please Note:

• Auto ML functionality is a tool to help speed up the process of developing and training machine learning models. It’s always important to carefully evaluate the performance of a model generated by the AutoML tool.

• Refer the Data Science Lab Quick Start Flow page to get an overview of the Data Science Lab module in nutshell.