Index

Symbols

--approx mft.train command line option --augments-only mft.train command line option --bins <bins> mft.features command line option --blm, --no-blm mft.predict command line option --embed, --no-embed mft.train command line option --gpu mft.train command line option --hist mft.train command line option --max-projection-samples <max_projection_samples> mft.train command line option --mosaic-file <mosaic_file> mft.predict command line option --n-boosting-stages <n_boosting_stages> mft.train command line option --n-components <n_components> mft.train command line option --pixel-size <pixel_size> mft.features command line option --reference <reference> mft.predict command line option

--tree-depth <tree_depth> mft.train command line option -a, --augment-file <augment_file> mft.features command line option mft.predict command line option -c, --n-clusters <n_clusters> mft.train command line option -d <d> mft.train command line option -lr, --learning-rate <learning_rate> mft.train command line option -o, --out <out> mft.features command line option mft.predict command line option -o, --out_path <out_path> mft.histmatch command line option -of <of> mft.train command line option -r, --ref_path <ref_path> mft.histmatch command line option -s, --seed <seed> mft.train command line option -t, --target-map <target_map> mft.features command line option

A

all_equal() (in module mftrees.util)

C

create_histmatcher() (in module mftrees.util)

F

feature_vector() (in module mftrees.features)

fmap() (in module mftrees.features) full_feature_vector() (in module mftrees.features)

I

IMG_PATH mft.histmatch command line option

M

mft.features command line option --bins <bins> --pixel-size <pixel_size> -a, --augment-file <augment_file> -o, --out <out> -t, --target-map <target_map> MOSAIC_FILE mft.histmatch command line option -o, --out_path <out_path> -r, --ref_path <ref_path> IMG_PATH mft.predict command line option --blm, --no-blm --mosaic-file <mosaic_file> --reference <reference> -a, --augment-file <augment_file> -o, --out <out> MODEL_FILE mft.train command line option --approx --augments-only --embed, --no-embed --gpu --hist --max-projection-samples <max_projection_samples> --n-boosting-stages <n_boosting_stages> --n-components <n_components> --tree-depth <tree_depth> -c, --n-clusters <n_clusters> -d <d> -lr, --learning-rate <learning_rate> -of <of> -s, --seed <seed> TRAINING_FILE

mftrees (module) mftrees.features (module) mftrees.util (module) MODEL_FILE mft.predict command line option MOSAIC_FILE mft.features command line option

R

r2() (in module mftrees.util)

S

spectrum() (in module mftrees.features)

T

TRAINING_FILE mft.train command line option