We are, once again, thrilled to bring you a few more product updates that might just be what you need for advancing in your projects. This time we introduce multi-label classification capabilities and our tune experiment feature. Enjoy!
Bringing you multi-label classification and our new Tune experiment feature
Multi-label classification at your fingertips
Could the cats in your dataset look both grumpy and mysterious at the same time? Yes. From now on, you can solve your multi-label classification problems on the Peltarion platform. We have added the IoU (intersection over union) metric to the evaluation view, that will let you evaluate which of your experiments perform the best. We have also added inspection support so that you can inspect how good your model is at predicting a certain label. For instance, is your model good at predicting grumpy cats while struggling with predicting mystery? The Inspection view will tell.
Introducing our Tune experiment feature
Iterating on (or tuning) experiments is a big part of succeeding in your projects. And with that in mind, we are happy to present you with our Tune experiment feature, a feature that aims to simplify the process of iterating on your projects. By activating the Tune experiment feature, the platform suggests changing the experiment’s settings or the model, and then generates and launches the new experiments from that.
Psst. Did you know that you always get a 30-days free trial of our Plus tier when signing up to the Peltarion platform?
02/ More on Product development
Bringing you our new modeling engine - Okra - and a new datasets view
Our data-cleanser tool is now available on platform
Data cleansing, Multiple output feature selection, and Bubble connector coming your way
Image similarity available on the Peltarion platform
Year in review 2020
We take a look back at the highlights of 2020