Description Usage Arguments Value Examples
View source: R/prepare_dl_data.r
Parse data for deep learning model training
1 | prepare_dl_data(input_data, partitioning_type)
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input_data |
A dataframe containing the input data. |
partitioning_type |
A character string indicating the desired spatial data partitioning method. Can be "default", "block", "checkerboard1", or "checkerboard2". |
A dataframe containing the prepared data.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ## Not run:
# download benchmarking data
benchmarking_data <- get_benchmarking_data("Lynx lynx",
limit = 1500)
# transform benchmarking data into a format suitable for deep learning
# if you have previously used a partitioning method you should specify it here
benchmarking_data_dl <- prepare_dl_data(input_data = benchmarking_data$df_data,
partitioning_type = "default")
# perform sanity check on the transformed dataset
# for the training set
head(benchmarking_data_dl$train_tbl)
table(benchmarking_data_dl$y_train_vec)
# for the test set
head(benchmarking_data_dl$test_tbl)
table(benchmarking_data_dl$y_test_vec)
## End(Not run)
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