print.rf.madlib {PivotalR} | R Documentation |
This function prints the result of madlib.randomForest
to the screen. It
internally calls R's print function for random forests.
## S3 method for class 'rf.madlib' print(x, digits = max(3L, getOption("digits") - 3L), ...)
x |
The fitted forest from the result of
|
digits |
The number of digits to print for numerical values. |
... |
Arguments to be passed to or from other methods. |
Author: Predictive Analytics Team at Pivotal Inc.
Maintainer: Frank McQuillan, Pivotal Inc. fmcquillan@pivotal.io
[1] Documentation of random forest in MADlib 1.7, http://doc.madlib.net/latest/
madlib.randomForest
is the wrapper for MADlib's forest_train function for random forests.
madlib.lm
, madlib.glm
, madlib.rpart
,
madlib.summary
, madlib.arima
, madlib.elnet
,
madlib.rpart
are all MADlib wrapper functions.
## Not run: ## set up the database connection ## Assume that .port is port number and .dbname is the database name cid <- db.connect(port = .port, dbname = .dbname, verbose = FALSE) x <- as.db.data.frame(abalone, conn.id = cid, verbose = FALSE) lk(x, 10) ## random forest using abalone data, using default values of minsplit, ## maxdepth etc. key(x)<-"id" fit <- madlib.randomForest(rings < 10 ~ length + diameter + height + whole + shell, data=x) print(fit) db.disconnect(cid) ## End(Not run)