PivotalR (version 0.1.18.3.1)

predict.elnet.madlib: Predict using the regression result of elastic net regularization

Description

Prediction from models fit by madlib.elnet

Usage

# S3 method for elnet.madlib
predict(object, newdata, type = c("response", "prob"), ...)

Arguments

object

The result of madlib.elnet

newdata

A '>db.obj object, which wraps the data in the database.

type

A string, default is "response". The other option is "prob". The prediction for "gaussian"/"linear" family of madlib.elnet result is always for the dependent variable. The prediction for "binomial"/"logistic" family is TRUE/FALSE values for "response", and probabilities of TRUE for "prob".

…

Extra parameters. Not implemented yet.

Value

A '>db.Rquery object, which contains the SQL query to compute the prediction. One can use the function lk to look at the values.

See Also

madlib.elnet Wrapper for MADlib elastic net regularization.

predict.lm.madlib and predict.logregr.madlib produce predictions for linear and logistic models.

Examples

# NOT RUN {
## see the examples in madlib.elnet
# }