predict classifies a new set of observations from a
previously built classifier. This function will provide either
a vector of new classes, class probability estimates, or both.
Usage
## S3 method for class 'maboost'
predict(object, newdata = NULL, type = c("class", "prob", "both","F"),n.iter=NULL,...)
Arguments
object
object generated by maboost.
newdata
new data set to predict. This data set must be
of type ‘data.frame’. Default = NULL. When default = NULL, predict
produces predictions for the original training set.
type
choice for preditions.
type=“class” returns the default class labels.
type=“prob” returns the probability class estimates.
type=“both” returns both the default class labels and
probability class estimates.
type=“F” returns the ensamble average. This is mainly usefull for the multiclass case.
n.iter
number of iterations to consider for the prediction. By default
this is iter from the maboost call (n.iter< iter)
...
other arguments not used by this function.
Details
This function was modeled after predict.rpart and predict.rpart and predict.C5.0.
Value
fit
a vector of fitted responses. Fit will be returned if type=“class”.
prob
a matrix of class probability estimates. The first column
corresponds to the first label in the ‘levels’ of the response. The second
column corresponds to the second label in the ‘levels’ of the response.
Probs are returned whenever type=“prob”.
both
returns both the vector of fitted responses and class probability
estimates. The first element returns the fitted responses and will be labeled
as ‘class’. The second element returns the class probability estimates
and will be labeled as ‘prob’.
F
this can be used in the multiclass case.
Note
This function is invoked by the summary S3 generics invoked with an maboost object. If an error occurs in one of the above
commands then try using this command directly to track possible errors.
Also, the newdata data set must be of type ‘data.frame’ when invoking
summary.