Description Usage Arguments Value Examples
Train deep learning SDM
1 | train_dl(input_data)
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input_data |
A dataframe containing parsed and processed deep learning data. |
A list containing the trained deep learning model object and a history object for performance evaluation.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | ## 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$y_test_vec)
# train neural network
keras_results <- train_dl(benchmarking_data_dl)
# inspect results
keras_results$history
# you can also plot them
plot(keras_results$history)
## End(Not run)
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