jMotif
SAX-VSM suboptimal optimization
Hello In the webpage example 5.0 SAX-VSM classifier, the un-optimized parameters:
w <- 60 # the sliding window size p <- 6 # the PAA size a <- 6 # the SAX alphabet size are optimal, since the error term is 0 (zero miss-classifications rate)
However in the example 6.0 SAX-VSM parameters optimization the optimal parameters are "65 12 4 -> 0":
w <- 65 # the sliding window size p <- 12 # the PAA size a <- 4 # the SAX alphabet size and the miss-classification error is [1] 0.004444444 with 4 misclassified series ([1] 187 589 766 860)
What I am missing?
Also, I tried the optimization with my own data set and I get the following error
Error in bags[[unique(train_labels)[j]]] <- manyseries_to_wordbag((train_data[set_train, : attempt to select less than one element in OneIndex
Thank you in advance for your help
