Tuning¶
CPT has 3 meta parameters that need to be tuned
MBR¶
MBR indicates the number of similar sequences that need to be found before predicting a value.
The higher this parameter, the longer the prediction. Having more similar sequences can result in a higher accuracy.
split_length¶
split_length is the number of elements per sequence to be stored in the model. (Choosing 0 results in taking all elements)
split_length needs to be finely tuned. As the model cannot predict an element present in the sequence, giving a too long sequence might result in lower accuracy.
noise_ratio¶
The noise_ratio determines which elements are defined as noise and should not be taken into account.