I am trying to do some analysis of accelerometer data to classify sleeping. Since there are many periods if “silence” I thought I should feed my classifier things like min, max , mean, stdev of the raw data to simplify the learning. I am surprised there does not seem to be a regular processing block for these basic operations Is building a custom processing block the only way to do this? Or is this the wrong thing to do?
Hi @Panometric the flatten block creates those features!