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.