Now let's see some statistics about the number of training series (as described earlier, this is with 50% overlap between each series), number of test series, number of timesteps per series, and number of input parameters per timestep:

val trainingDataCount = trainData.length // No. of training series  
val testDataCount = testData.length // No. of testing series 
val nSteps = trainData(0).length // No. of timesteps per series 
val nInput = trainData(0)(0).length // No. of input parameters per timestep 

println("Number of training series: "+ trainingDataCount) 
println("Number of test series: "+ testDataCount) 
println("Number of timestep per series: "+ nSteps) 
println("Number of input parameters per timestep: "+ nInput) 
>>>

The output is:

Number of training series: 7352
Number of test series: 2947
Number of timestep per series: 128
Number of input parameters per timestep: 9