IBCF: IBCF

In frahik/IBCF.MTME: Item Based Collaborative Filtering for Multi-Trait and Multi-Environment Data

Description

Item Based Collaborative Filtering for multi-trait and multi-environment data.

Usage

IBCF(object, dec = 4)

Arguments

object	list CrossValidation object, is obtained from CV.RandomPartition function.
dec	integer Number of decimals to print in the results.

Value

A list with the next components

NPartitions	integer Number of partitions used for testing data
predictions_Summary	data.frame A data.frame with the results of the test
Predictions	list A list with the predicted results for each partition

Examples

 ## Not run: 
  library(IBCF.MTME)
  data('Wheat_IBCF')

  CV <- CV.RandomPart(Wheat_IBCF)
  IBCF(CV)

## End(Not run)

frahik/IBCF.MTME documentation built on May 22, 2019, 2:39 p.m.