To generate your model, you first need to select your machine learning scenario. Model Builder supports several scenarios:
Note: If the tutorial screenshots don't match with what you see, you may need to update your version of Model Builder. Go to Extensions > Manage Extensions to make sure that there are no available updates for Model Builder. The version used in this tutorial is 18.104.22.1680302.
In this case, you'll predict sentiment based on the content (text) of customer reviews.
In the Model Builder Scenario screen, select the Data classification scenario, since you're predicting which category a comment falls into (positive or negative).
After selecting the Data classification scenario, you must choose your training environment. While some scenarios support training in Azure, Classification currently only supports local training, so keep the Local environment selected and move on to the Data step.
To generate your model, you need to select your machine learning scenario.
There are several ML scenarios that are supported by the ML.NET CLI:
In this case, you'll predict sentiment based on the content (text) of customer reviews, so you'll use classification.