preprocess_test_data: Preprocess time series data prepare for test learned bayesian...

In bayes-modeling/wrmbn: Water Resource Management using Bayesian Network

Description

Preprocess time series data prepare for test learned bayesian network

Usage

preprocess_test_data(
  data,
  continuous_variables,
  discrete_variables,
  desire_layers,
  time_column = NULL,
  normalize_type = NULL,
  normalizers = NULL
)

Arguments

data	A data frame, each row is a time value and observations
desire_layers	Number layers of bayesian network, at least is 2
time_column	Column name of "data", which values is time stamp, default is NULL
normalize_type	Normalization type for continuous variables, "mean_normalization", "min_max" or "standardisation", default is NULL
normalizers	Normalize parameters, default is NULL
continuous_variable_names	Column names of continuous variables
discrete_variable_names	Column names of discrete variables

Value

An list object, each element is processed data frame

Examples

library(wrmbn)
data("preprocessed")
head(data)
continuous_variables <- preprocessed$continuous_variables
discrete_variables <- preprocessed$discrete_variables
desire_layers <- preprocessed$desire_layers
time_column <- "date"
normalize_type <- preprocessed$normalize_tye
normalizers <- preprocessed$normalizers
test_data <- preprocess_test_data(data, continuous_variables, discrete_variables, desire_layers,
                                  time_column, normalize_type, normalizers)

bayes-modeling/wrmbn documentation built on Dec. 19, 2021, 6:45 a.m.