I keep unsubscribing from this list; but continue to receive emails. On Fri, Aug 3, 2018 at 4:01 AM Christiaan Ras <christiaan....@semmelwise.nl> wrote:
> Hi, > > > > I have a use case where I like to analyze windows of sensordata. > > Currently I have a working case where I use Structured Streaming to > process real-time streams of sensordata. Now I like to analyse windows of > sensordata and use classification to predict the class of a whole window. > > For instance, the application receives batches of sensordata (where each > record holds: timestamp, value, key). With the use of Machine learning I > like to analyse windows of these streams and classify the window as ‘warm’ > or ‘cold’. A single record is not sufficient for classification, a window > of records shapes a pattern to be used for classification. > > > > But how should you define features for a window of sensordata? > > Each value (sensor) as a separate feature in the vector (for a window of x > seconds, the vector contains x sensor values)? Or is there a way a feature > can hold multiple values (like an array)? Or use some kind of encoding to > fit x sensor values as a single feature? > > > > Regards, > > Chris > > > -- Robb Greathouse Middleware BU 505-507-4906
