measure_icc: Measure the information loss of reduction using intraclass...

In USCbiostats/partition: Agglomerative Partitioning Framework for Dimension Reduction

Measure the information loss of reduction using intraclass correlation coefficient

Description

Metrics are functions that tell how much information would be lost for a given reduction in the data. reduce. as_measure() is a helper function to create new metrics to be used in partitioners. partitioners can be created with as_partitioner().

measure_icc() assesses information loss by calculating the intraclass correlation coefficient for the target variables.

Usage

measure_icc(.partition_step)

Arguments

.partition_step

a partition_step object

Value

a partition_step object

See Also

Other metrics: as_measure(), measure_min_icc(), measure_min_r2(), measure_std_mutualinfo(), measure_variance_explained()

USCbiostats/partition documentation built on Feb. 3, 2024, 3:38 a.m.