print.dt.madlib {PivotalR} | R Documentation |
This function prints the result of madlib.rpart
to the screen. It
internally calls R's print.rpart
function.
## S3 method for class 'dt.madlib' print(x, digits = max(3L, getOption("digits") - 3L), ...)
x |
The fitted tree 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 decision tree in MADlib 1.6, http://doc.madlib.net/latest/
madlib.rpart
is the wrapper for MADlib's tree_train function for decision trees.
plot.dt.madlib
, text.dt.madlib
are other visualization functions.
madlib.lm
, madlib.glm
, madlib.rpart
,
madlib.summary
, madlib.arima
, madlib.elnet
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) ## decision tree using abalone data, using default values of minsplit, ## maxdepth etc. key(x)<-"id" fit <- madlib.rpart(rings < 10 ~ length + diameter + height + whole + shell, data=x, parms = list(split='gini'), control = list(cp=0.005)) print(fit) db.disconnect(cid) ## End(Not run)