Aggregation: Aggregation object.

In riebetob/mlr: Machine Learning in R

Description

An aggregation method reduces the performance values of the test (and possibly the training sets) to a single value. To see all possible implemented aggregations look at aggregations.

The aggregation can access all relevant information of the result after resampling and combine them into a single value. Though usually something very simple like taking the mean of the test set performances is done.

Object members:

id [character(1)]

Name of the aggregation method.

name [character(1)]

Long name of the aggregation method.

properties [character]

Properties of the aggregation.

fun [function(task, perf.test, perf.train, measure, group, pred)]

Aggregation function.

See Also

makeAggregation

riebetob/mlr documentation built on May 20, 2019, 5:58 p.m.