Release – December 2021
Model Compare :
ADVIT has a new functionality which will help data scientists compare the model versions. The page will show a tabularized version of characteristics such as Model Type, Framework, Training Accuracy, Training Loss, Model Accuracy, No. of Epochs, etc. This will help data scientists to select the best performing model version among all versions of the specific model.
Once model training and evaluation is completed, we then move on to Model Serving.This feature will logically segregate THE best performing models from the rest of the pool. The data scientists will then use these models for processes such as Auto Annotation, Evaluation and Inferencing.
Download Inference Docker:
Once the data scientists adds a model to the serving, they can download the models’ dockers as well. With the click of a single button the downloaded doctorized model will be ready to be deployed. The downloaded model then can directly be used for inferencing or as the user needs.
Mini Exception Model:
ADVIT now supports Mini Exception model for model training. This model can be used for use cases such as facial sentiment analysis. This pre-trained model supports seven categories which are as follows: Happy, Sad, Neutral, Disgust, Angry, Surprise, Fear.