Choice Modeling with Features Defined by Consumers and Not Researchers
Choice modeling begins with a researcher "deciding on what attributes or levels fully describe the good or service." This is consistent with the early neural networks in which features were precoded outside of the learning model. That is, choice modeling can be seen as learning the feature weights that recognize whether the input was of type "buy" or not. [keep reading]
"#ChoiceModeling with Features Defined by Consumers & Not Researchers" https://t.co/2eGEXGRU6V #rstats #deeplearning https://t.co/Em4nVfziAA















