distributed predict method for applying a random forest objects on a darray or a dframe
This function can be used to apply a model of type
randomForest to a new data for prediction.
an object of class
a darray, a dframe, a data.frame, or a matrix that contains new data. darray is highly recommended to dframe when there is no categorial data
when this argument is true, intermediate steps of the progress are displayed.
additional arguments to be passed to predict.randomForest
It returns predicted classes in a distributed or non-distributed objects depending on the type of the input. When the newdata is of type darray, the type of returned value will be also darray unless the output is categorical data. When the output is a dframe when the newdata is of type dframe.
Vishrut Gupta, Arash Fard, Winston Li, Matthew Saltz
Breiman, L. (2001), Random Forests, Machine Learning 45(1), 5-32.
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