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