OpenML_datasets
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f94ba1ea70
update openML datasets used
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3 years ago |
analysis
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a18c913871
Update train surrogate model
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3 years ago |
features_selection
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48c4349333
sorted open ml problems in order to well restart
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3 years ago |
generate
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c409191b1c
update prediction script for new dataset structure
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4 years ago |
modules @ cebf2adbf1
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0a05939b74
Update of optimization process using backups
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5 years ago |
optimization
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75bfebb06b
Remove add of surrogate model during local search
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3 years ago |
prediction
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21bd064e0f
enable filter of attributes
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3 years ago |
rnn @ 3e0abd40fe
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c863576804
New rnn submodule version
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3 years ago |
utils
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2fc4db3bfb
use of wsao module for accelerate ILS (using surrogate)
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4 years ago |
wsao @ a92ca5a285
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c41293b6fa
computation of mae and save it
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3 years ago |
.gitignore
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475f2851d1
Add of ocurences displayed
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3 years ago |
.gitmodules
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41659bc1c2
add of training using rnn models
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3 years ago |
LICENSE
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dc0463b6b5
Project initialization
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5 years ago |
README.md
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30d257e0f7
update of the whole project to enable use of new dataset
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4 years ago |
check_random_forest_perfomance.py
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8dc3803465
update number of features as input
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3 years ago |
check_random_forest_perfomance_rfe.py
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bc9d7037b7
Enable merge from rfe script
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3 years ago |
custom_config.py
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e4f5839e36
Use surrogate from scract as proposed framework
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3 years ago |
data_attributes.py
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a4119a186e
update kolmogorov attributes
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4 years ago |
find_best_attributes.py
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6032efa1b1
Use of population for rendering surrogate
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3 years ago |
find_best_attributes_from.py
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a2fb893050
svm can now be used for selector
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4 years ago |
find_best_attributes_no_surrogate.py
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4546ab0351
Lunch using no surrogate for comparisons
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3 years ago |
find_best_attributes_surrogate.py
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38ca51bff9
use of random forest
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3 years ago |
find_best_attributes_surrogate_dl.py
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6032efa1b1
Use of population for rendering surrogate
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3 years ago |
find_best_attributes_surrogate_openML.py
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6032efa1b1
Use of population for rendering surrogate
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3 years ago |
find_best_attributes_surrogate_openML_multi.py
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6032efa1b1
Use of population for rendering surrogate
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3 years ago |
find_best_attributes_surrogate_openML_multi_specific.py
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6032efa1b1
Use of population for rendering surrogate
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3 years ago |
find_best_attributes_surrogate_svm.py
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c7f92ed4ef
Use of default svm metric
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2 years ago |
find_best_filters.py
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6032efa1b1
Use of population for rendering surrogate
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3 years ago |
models.py
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0b94c18199
update number of parameters for svm
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3 years ago |
requirements.txt
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c52c6fae6c
now use of macop Python package for optimization process
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4 years ago |
run_no_surrogate_rendering.sh
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1e890c2840
Update bash script
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3 years ago |
run_openML_surrogate.py
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48c4349333
sorted open ml problems in order to well restart
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3 years ago |
run_openML_surrogate_multi.py
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c41293b6fa
computation of mae and save it
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3 years ago |
run_openML_surrogate_multi_specific.py
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33cf98b131
enable run of commands
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3 years ago |
run_surrogate_rendering.sh
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b111f51621
Reduce pop size
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3 years ago |
train_model.py
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c409191b1c
update prediction script for new dataset structure
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4 years ago |
train_model_attributes.py
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bc9d7037b7
Enable merge from rfe script
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3 years ago |
train_model_filters.py
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b73b27ab44
add balanced data into SVC
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4 years ago |