as_learning_db: prepare an aggregated load dataset to be model

In rte-antares-rpackage/antaDraft: clean and validate entsoe datasets

Description

add columns to an aggregated load dataset so that a model can be run.

Usage

as_learning_db(data, target = "CTY")

Arguments

data	aggregated load dataset
target	column to manipulate when shifting or summarizing

Examples

load_dir <- system.file(package = "antaDraft",
  "data_sample/load_sample_2017")

load_data <- anta_load(data_dir = load_dir )
load_data <- augment_validation(data = load_data)
head(load_data)

aggregated_db <- agg_data(load_data)
aggregated_db <- augment_validation(aggregated_db)
aggregated_db <- data_correct_with_rules(aggregated_db)
aggregated_db <- augment_process_summary(aggregated_db)
newdb <- as_learning_db(aggregated_db)
head(newdb)

rte-antares-rpackage/antaDraft documentation built on May 14, 2019, 2:59 p.m.