Description Usage Arguments Value Author(s) Examples
Optimize LSU for each cell using a neural net model.
1 2 | Optimize_LSU(test_data, model, min_Lsu, max_Lsu, col_means,
col_stddevs, range)
|
test_data |
Generated test data object, for mode details see generate_test_data |
model |
.h5 saved keras model |
min_Lsu |
lower boundary for constrained optmization |
max_Lsu |
upper boundary for constrained optmization |
col_means |
Center attributes from scaled training data of the model used in the parameter model. Example: train_data <- scale(train_data) col_means_train_harvest <- attr(train_data, "scaled:center") |
col_stddevs |
Scale attributes from scaled training data of the model used in the parameter model. |
range |
Cell interval to be optmized |
Vector of optimized LSUs per grid cell
Marcos Alves mppalves@gmail.com
1 2 3 | Optimize_LSU(test_data, ML_model_harvest,min_Lsu = -2, max_Lsu = 2,
col_means_train_harvest,col_stddevs_train_harvest,
range = 28415:28416)
|
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