Using the ML.NET Model Builder

I have a post looking at the ML.NET Model Builder:

You have four options from which to choose: two-class classification, multi-class classification, regression, or Choose Your Own Adventure. Today, we’re going to create a two-class classification model. Incidentally, they’re not kidding about things changing in preview—last time I looked at this, they didn’t have multi-class classifiers available.

Once you select Sentiment Analysis (that is, two-class classification of text), you can figure out how to feed data to this trainer.

I think this is fine for developers who are looking to add a machine learning component as a small part of a bigger product. I don’t think it will beat a trained human using R or Python, but it’s an interesting avenue.

Related Posts

Case-Insensitive Searches in Snowflake

Koen Verbeeck shows how you can perform case-insensitive searches in Snowflake DB: I’m doing a little series on some of the nice features/capabilities in Snowflake (the cloud data warehouse). In each part, I’ll highlight something that I think it’s interesting enough to share. It might be some SQL function that I’d really like to be in SQL […]

Read More

Patterns for ML Models in Production

Jeff Fletcher shows four patterns for productionalizing Machine Learning models, as well as some things to take care of once you’re in production: Operational DatabasesThis option is sometimes considered to be  real-time as the information is provided “as its needed,” but it is still a batch method. Using our telco example, a batch process can […]

Read More

Leave a Reply

Your email address will not be published. Required fields are marked *

This site uses Akismet to reduce spam. Learn how your comment data is processed.

Categories

June 2019
MTWTFSS
« May  
 12
3456789
10111213141516
17181920212223
24252627282930