API for pat-s/2019-feature-selection
Research Compendium package for the publication "Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?"

Global functions
FeatureSelection	Man page
FeatureSelection-package	Man page
boxcox_response	Man page Source code
calc_nri_indices	Man page Source code
calc_veg_indices	Man page Source code
calculate_vi	Man page
clean_single_plots	Man page Source code
copy_cloud	Man page
copy_figures	Source code
create_defoliation_map	Man page
create_prediction_df	Man page
create_prediction_map	Man page Source code
data_preprocessing	Man page
download	Man page
download_aoi	Man page Source code
download_forest_mask	Man page Source code
download_hyperspectral	Man page Source code
download_images	Man page Source code
download_locations	Man page Source code
download_trees	Man page Source code
extra_to_plot	Man page
extract_bands_to_plot	Man page Source code
extract_coords	Man page Source code
extract_indices_to_plot	Man page Source code
feature_imp_parallel	Man page Source code
file_cp_ts	Man page Source code
get_coordinates	Man page
get_records	Man page Source code
inv_boxcox_rmse	Man page Source code
log_response	Man page Source code
mask_mosaic	Man page
mask_vi	Man page
mosaic_clouds	Man page
mosaic_images	Man page
mutate_defol	Man page Source code
my_pairs	Man page Source code
panel.cor	Source code
panel.hist	Man page Source code
predict_defoliation	Man page
prediction_raster	Man page
process_hyperspec	Man page Source code
process_hyperspec_helper	Man page Source code
ras_to_sf	Man page
scale_defoliation	Man page
split_into_feature_sets	Man page Source code
stack_bands	Man page Source code
standardize	Man page Source code
train_wrapper	Man page Source code
tune_ctrl_mbo_30n_70it	Man page Source code
tune_ctrl_wrapper	Man page Source code
tune_wrapper	Man page Source code
unzip_images	Man page Source code

pat-s/2019-feature-selection documentation built on Dec. 24, 2021, 8:40 a.m.

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pat-s/2019-feature-selection
Research Compendium package for the publication "Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?"

API for pat-s/2019-feature-selection
Research Compendium package for the publication "Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?"

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pat-s/2019-feature-selection Research Compendium package for the publication "Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?"

API for pat-s/2019-feature-selection Research Compendium package for the publication "Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?"

R Package Documentation

Browse R Packages

We want your feedback!

pat-s/2019-feature-selection
Research Compendium package for the publication "Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?"

API for pat-s/2019-feature-selection
Research Compendium package for the publication "Monitoring forest health using hyperspectral imagery: Does feature selection improve the performance of machine-learning techniques?"