OpenML_datasets
|
f94ba1ea70
update openML datasets used
|
3 years ago |
analysis
|
a18c913871
Update train surrogate model
|
3 years ago |
features_selection
|
48c4349333
sorted open ml problems in order to well restart
|
3 years ago |
generate
|
c409191b1c
update prediction script for new dataset structure
|
4 years ago |
modules @ cebf2adbf1
|
0a05939b74
Update of optimization process using backups
|
5 years ago |
optimization
|
75bfebb06b
Remove add of surrogate model during local search
|
3 years ago |
prediction
|
c409191b1c
update prediction script for new dataset structure
|
4 years ago |
rnn @ 8c2fc8888c
|
427d117327
Update use of surrogate
|
3 years ago |
utils
|
2fc4db3bfb
use of wsao module for accelerate ILS (using surrogate)
|
4 years ago |
wsao @ a92ca5a285
|
c41293b6fa
computation of mae and save it
|
3 years ago |
.gitignore
|
475f2851d1
Add of ocurences displayed
|
3 years ago |
.gitmodules
|
41659bc1c2
add of training using rnn models
|
4 years ago |
LICENSE
|
dc0463b6b5
Project initialization
|
5 years ago |
README.md
|
30d257e0f7
update of the whole project to enable use of new dataset
|
4 years ago |
check_random_forest_perfomance.py
|
8dc3803465
update number of features as input
|
3 years ago |
check_random_forest_perfomance_rfe.py
|
7cc4631e5d
Add test of RFE performances and n_jobs
|
3 years ago |
custom_config.py
|
e4f5839e36
Use surrogate from scract as proposed framework
|
4 years ago |
data_attributes.py
|
a4119a186e
update kolmogorov attributes
|
4 years ago |
find_best_attributes.py
|
6032efa1b1
Use of population for rendering surrogate
|
3 years ago |
find_best_attributes_from.py
|
a2fb893050
svm can now be used for selector
|
4 years ago |
find_best_attributes_no_surrogate.py
|
4546ab0351
Lunch using no surrogate for comparisons
|
3 years ago |
find_best_attributes_surrogate.py
|
38ca51bff9
use of random forest
|
3 years ago |
find_best_attributes_surrogate_dl.py
|
6032efa1b1
Use of population for rendering surrogate
|
3 years ago |
find_best_attributes_surrogate_openML.py
|
6032efa1b1
Use of population for rendering surrogate
|
3 years ago |
find_best_attributes_surrogate_openML_multi.py
|
6032efa1b1
Use of population for rendering surrogate
|
3 years ago |
find_best_attributes_surrogate_openML_multi_specific.py
|
6032efa1b1
Use of population for rendering surrogate
|
3 years ago |
find_best_filters.py
|
6032efa1b1
Use of population for rendering surrogate
|
3 years ago |
models.py
|
62af7d2a9e
Update CV parameter when training
|
3 years ago |
requirements.txt
|
c52c6fae6c
now use of macop Python package for optimization process
|
4 years ago |
run_no_surrogate_rendering.sh
|
1e890c2840
Update bash script
|
3 years ago |
run_openML_surrogate.py
|
48c4349333
sorted open ml problems in order to well restart
|
3 years ago |
run_openML_surrogate_multi.py
|
c41293b6fa
computation of mae and save it
|
3 years ago |
run_openML_surrogate_multi_specific.py
|
33cf98b131
enable run of commands
|
3 years ago |
run_surrogate_rendering.sh
|
b111f51621
Reduce pop size
|
3 years ago |
train_model.py
|
c409191b1c
update prediction script for new dataset structure
|
4 years ago |
train_model_attributes.py
|
a18c913871
Update train surrogate model
|
3 years ago |
train_model_filters.py
|
b73b27ab44
add balanced data into SVC
|
4 years ago |