// NewAROW creates an AROW model. regWeight means sensitivity for data. When regWeight is large,
// the model learns quickly but harms from noise. regWeight must be larger than zero.
func NewAROW(regWeight float32) (*AROW, error) {
if regWeight <= 0 {
return nil, errors.New("regularization weight must be larger than zero")
}
return &AROW{
model: make(model),
regWeight: regWeight,
intern: intern.New(),
}, nil
}
// Clear clears a model.
func (a *AROW) Clear() {
a.m.Lock()
defer a.m.Unlock()
a.model = make(model)
a.intern = intern.New()
}
