update(, collapse_m = m) will now produce a level
“other p” for the p least frequent categories #52.update() has received new default:
collapse_m = 15 (was 30) #54.y are now checked after
removing observations without positive weights #56..ale() has become faster
thanks to issue #11 by
@SebKrantz.update(collapse_m = ...) has collapsed wrong categories
#31, #34, and #35.fcut(), a fast variant of cut()
#25.discrete_m = 5 has been increased to 13
#29.pred). Helps to simplify the use of {h2o} #32.update(..., drop_empty = TRUE) to drop them
after calculations #40.average_observed(),
average_predicted(), and bias() #41.plot(): Renamed argument num_points to
continuous_points and cat_lines to
discrete_lines #42.update(): New argument to_factor to turn
discrete non-factors to factors #42.discrete to distinguish continuous from discrete
features #42.effect_importance() will produce an error when sorting
on non-existent statistic #45.Initial release.
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