createKFoldData: Create data for KFold error test

In hpiR: House Price Indexes

Description

Generic method for creating KFold testing data

Usage

createKFoldData(score_ids, full_data, pred_df)

Arguments

score_ids	Vector of row ids to be included in scoring data
full_data	Complete dataset (class 'hpidata“) of this model type (rt or hed)
pred_df	Data to be used for prediction

Value

list of length 2 containing:

train

Training data.frame

score

Scoring data.frame

Further Details

Called from 'calcKFoldError()“

Examples

 # Load Data
 data(ex_sales)

 # Create RT Data
 rt_data <- rtCreateTrans(trans_df = ex_sales,
                          prop_id = 'pinx',
                          trans_id = 'sale_id',
                          price = 'sale_price',
                          periodicity = 'monthly',
                          date = 'sale_date')
 # Create folds
 k_folds <- split(x = 1:nrow(rt_data),
                  f = sample(1:10, nrow(rt_data), replace = TRUE))

 # Create data from folds
 kfold_data <- createKFoldData(score_ids = k_folds[[1]],
                               full_data = rt_data,
                               pred_df = rt_data)

hpiR documentation built on April 1, 2020, 5:09 p.m.