Compute the iSAX index for a DataFrame which is assumed to be numeric time series data

h2o.isax(x, num_words, max_cardinality, optimize_card = FALSE)

## Arguments

x an H2OFrame Number of iSAX words for the timeseries. ie granularity along the time series Maximum cardinality of the iSAX word. Each word can have less than the max An optimization flag that will find the max cardinality regardless of what is passed in for max_cardinality.

## Value

An H2OFrame with the name of time series, string representation of iSAX word, followed by binary representation

## References

http://www.cs.ucr.edu/~eamonn/iSAX_2.0.pdf

http://www.cs.ucr.edu/~eamonn/SAX.pdf