func SplitTrainingAndTest(m model.DataModel, trainingPercentage, evaluationPercentage float32) (model.PreferenceArrayMap, model.PreferenceArrayMap) {
trainings := model.NewUserPreferenceArrayMap()
tests := model.NewUserPreferenceArrayMap()
for _, uid := range m.UserIds() {
if rand.Float32() < evaluationPercentage {
prefs, err := m.GetUserPreferences(uid)
if err != nil {
continue
}
for _, p := range prefs.Raw() {
if rand.Float32() < trainingPercentage {
trainings.Set(p)
} else {
tests.Set(p)
}
}
}
}
return trainings, tests
}
