Preprocess a dataframe of covariate values, converting categorical variables to integers and one-hot encoding if need be.

Preprocess a dataframe of covariate values, converting categorical variables to integers and one-hot encoding if need be.

Usage

preprocessPredictionDataFrame(input_df, metadata)

Arguments

input_df

Dataframe of covariates. Users must pre-process any categorical variables as factors (ordered for ordered categorical).

metadata

List containing information on variables, including train set categories for categorical variables

Value

Preprocessed data with categorical variables appropriately preprocessed

Examples

cov_df <- data.frame(x1 = 1:5, x2 = 5:1, x3 = 6:10)
metadata <- list(num_ordered_cat_vars = 0, num_unordered_cat_vars = 0, 
                 num_numeric_vars = 3, numeric_vars = c("x1", "x2", "x3"))
X_preprocessed <- preprocessPredictionDataFrame(cov_df, metadata)