We added basic integration with MLflow, so that models that have the pyfunc flavor (which is, most of them), can be loaded as predictors. These predictors then works on both pandas and koalas dataframes with no code change. See the documentation example for details. (#353)
pyfunc
We also added the following features:
koalas.DataFrame:
sort_index (#380)
applymap (#390)
empty (#391)
koalas.Series:
sort_values (#366)
to_list (#379)
pipe (#392)
map (#389)
add (#401)
radd (#401)
div (#401)
divide (#401)
rdiv (#401)
truediv (#401)
rtruediv (#401)
mul (#401)
multiply (#401)
rmul (#401)
sub (#401)
substract (#401)
rsub (#401)
Along with the following improvements:
DataFrame.merge function now supports left_on and right_on arguments. (#381)
DataFrame.merge
left_on
right_on
DataFrame.describe function now supports percentiles argument. (#378)
DataFrame.describe
percentiles