preprocessPredictionData {stochtree} | R Documentation |
Preprocess covariates. DataFrames will be preprocessed based on their column types. Matrices will be passed through assuming all columns are numeric.
Description
Preprocess covariates. DataFrames will be preprocessed based on their column types. Matrices will be passed through assuming all columns are numeric.
Usage
preprocessPredictionData(input_data, metadata)
Arguments
input_data |
Covariates, provided as either a dataframe or a matrix |
metadata |
List containing information on variables, including train set categories for categorical variables |
Value
Preprocessed data with categorical variables appropriately handled
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 <- preprocessPredictionData(cov_df, metadata)
[Package stochtree version 0.1.1 Index]