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)
| x | an H2OFrame |
|---|---|
| num_words | Number of iSAX words for the timeseries. ie granularity along the time series |
| max_cardinality | Maximum cardinality of the iSAX word. Each word can have less than the max |
| optimize_card | 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
http://www.cs.ucr.edu/~eamonn/iSAX_2.0.pdf
http://www.cs.ucr.edu/~eamonn/SAX.pdf