MODELING CONSUMER ACTIVITY

摘要

For modeling consumer activity, code generates potential model types. In addition, the code divides activity data into a training data set, a test data set, and a validation data set. The code further trains the potential model types with the training set data. In addition, the code selects a model type with the test data set. The code calculates algorithmic parameters with the validation data set.

主权项

1. A method comprising:
generating, by use of a processor, potential model types; dividing activity data into a training data set, a test data set, and a validation data set; training weights for the potential model types with the training set data; and selecting a model type that minimizes a cost function wherein the weights are trained against the validation data set and the cost function is evaluated against the test data set.