Is it possible to train a model using CreateML to infer a relevance numeric score of a news article based on similar trained data, something like a sentiment score ? I created a Text Classifier that assigns a category label which works perfect but I would like a solution that calculates a numeric value, not a label.
have you tried this? https://developer.apple.com/documentation/naturallanguage/nltagscheme/sentimentscore
@Frameworks Engineer Sorry, what I meant is that I would like to train a model to generate an output similar to the sentiment score, but evaluating the relevance of a news article based on some training data.