Automated Machine Learning User Interface — How Can We Simplify and Accelerate AI?

Francesca Lazzeri
Jun 18 · 4 min read
Leverage the power of automated machine learning

Quickly setup a new experiment

Starting the experiment is fast and easy. First, select a name for the experiment. After, you can choose the compute type to use for data exploration and training. For users who do not have a compute, you will find it easy to create one from this page.

Review and explore data

  • Select your data file (you can upload one from your machine) to get a preview of the data and explore it.
  • You can see both a sample of the raw data, as well as stats on each column, such as type, values histogram, min and max values, and more.
  • You can also select to exclude columns from the training job.
  • Then, identify whether this is a classification, regression, or forecasting training type.
  • From here you can select the column you’d like to get predictions on.
  • Start training to let automated machine learning find the best model.

Control and fine tune settings

If you are well-versed in machine learning internals, you can open the “Advanced settings” section. Here you can define your desired settings for the training job, such as early exit criteria, cross validation method to use, algorithms to exclude, and more.

Review key metrics

In the automated machine learning dashboard, you can see all your experiments and filter them by name, date, and state, as well as drill down to any of the runs. Once started, you can view the experiment progress in real time as more algorithms are evaluated, and a model is produced. You can evaluate each of the models using the various charts available. Review detailed metrics on each run iteration in order to determine if this is the suitable model.

Resources

Get started today with your new Azure free trial, and learn more about automated machine learning user interface.


Microsoft Azure

Any language. Any platform. Our team is focused on making the world more amazing for developers and IT operations communities with the best that Microsoft Azure can provide. If you want to contribute in this journey with us, contact us at medium@microsoft.com

Francesca Lazzeri

Written by

Senior Machine Learning Scientist at Microsoft. My goal is to make developers like you awesome at applied AI and Machine Learning. @frlazzeri on Twitter.

Microsoft Azure

Any language. Any platform. Our team is focused on making the world more amazing for developers and IT operations communities with the best that Microsoft Azure can provide. If you want to contribute in this journey with us, contact us at medium@microsoft.com