iSAX

Source: R/frame.R

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
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.

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