Description Usage Arguments Author(s) References See Also Examples
View source: R/madlib-randomForest.R
This function prints the result of madlib.randomForest
to the screen. It
internally calls R's print function for random forests.
1 2 3 |
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, https://madlib.apache.org/docs/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.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | ## 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)
|
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