It is cumbersome to transport data stored in R’s memory to H2O’s memory for essentially two reasons: R performs a POST of the file to stream up the data into H2O, which 1) doesn’t take advantage of H2O’s parallel reader, and 2) limits your data to existing in R.
Instead, make use of the h2o.importFile method from R to make use of H2O’s parallel reader. Your data can live anywhere: HDFS, S3, regular filesystem…
H2O sports an SVMLight reader, so it is recommended to save your sparse Matrix from R in svmlight format.
Hope this helps!
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