Description Usage Arguments Author(s) References See Also Examples
This is a function which adds labels to the plot generated by plot.dt.madlib.
1 2 3 4  | 
x | 
 The fitted tree from the result of   | 
splits | 
 A boolean, if TRUE, labels the splits with the criterion for the split.  | 
label | 
 This is currently ignored.  | 
FUN | 
 The name of a labeling function, e.g. text  | 
all | 
 A boolean, if TRUE, labels all the nodes, otherwise just the terminal nodes.  | 
pretty | 
 An alternative to the   | 
digits | 
 Number of significant digits to include in numeric labels.  | 
use.n | 
 A boolean, if TRUE, adds to label (\#events level1/ \#events level2/etc. for classification and n for regression)  | 
fancy | 
 A boolean, if TRUE, represents internal nodes by ellipses and leaves by rectangles.  | 
fwidth | 
 Controls the width of the ellipses and rectangles if fancy=TRUE.  | 
fheight | 
 Controls the height of the ellipses and rectangles if fancy=TRUE.  | 
bg | 
 The color used to paint the background if fancy=TRUE.  | 
minlength | 
 The length to use for factor labels.  | 
... | 
 Other graphical parameters to be supplied as input to this function (see   | 
Author: Predictive Analytics Team at Pivotal Inc.
Maintainer: Frank McQuillan, Pivotal Inc. fmcquillan@pivotal.io
[1] Documentation of decision tree in MADlib 1.6, https://madlib.apache.org/docs/latest/
madlib.rpart is the wrapper for MADlib's tree_train function for decision trees.
plot.dt.madlib, print.dt.madlib are visualization functions
for a model fitted through madlib.rpart
predict.dt.madlib is a wrapper for MADlib's predict function for
decision trees.
madlib.lm, madlib.glm,
madlib.summary, madlib.arima, madlib.elnet
are all MADlib wrapper functions.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19  | ## 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)
key(x) <- "id"
fit <- madlib.rpart(rings < 10 ~ length + diameter + height + whole + shell,
       data=x, parms = list(split='gini'), control = list(cp=0.005))
plot(fit, uniform=TRUE)
text(fit, use.n=TRUE, all=TRUE)
db.disconnect(cid)
## End(Not run)
 | 
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.