Before we continue to build our classifier, let's imagine what the main function will look as follows. It will look something similar to this:
unc main() { examples, err := ingest("bare") log.Printf("Examples loaded: %d, Errors: %v", len(examples), err) shuffle(examples) if len(examples) == 0 { log.Fatal("Cannot proceed: no training examples") } // create new classifier c := New() // train new classifier c.Train(examples) // predict predicted := c.Predict(aDocument) fmt.Printf("Predicted %v", predicted)}
The use of Train and Predict as exported methods are useful in guiding us on what to build next. From the sketch in the preceding code block, we need a Classifier type, that has Train and Predict at the very least. So we'll ...
