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.idea
.idea
 
 
pygco
pygco
 
 
.gitattributes
.gitattributes
 
 
.gitignore
.gitignore
 
 
Makefile
Makefile
 
 
README.md
README.md
 
 
annotation.docx
annotation.docx
 
 
apr15.snps.matrix
apr15.snps.matrix
 
 
bsuir_conf_article.doc
bsuir_conf_article.doc
 
 
clean_experiments_data.sh
clean_experiments_data.sh
 
 
common.py
common.py
 
 
complex_features_inserting.py
complex_features_inserting.py
 
 
data_keeper.py
data_keeper.py
 
 
drugs_effect.csv
drugs_effect.csv
 
 
features.txt
features.txt
 
 
features_truncated.txt
features_truncated.txt
 
 
frn.py
frn.py
 
 
generate_subsets.cpp
generate_subsets.cpp
 
 
generate_subsets_for_common_x.py
generate_subsets_for_common_x.py
 
 
getting_experiments_results.py
getting_experiments_results.py
 
 
hyperparameter_search.py
hyperparameter_search.py
 
 
install_dependencies.sh
install_dependencies.sh
 
 
presentation.pptx
presentation.pptx
 
 
presentation_conf_bsuir.pptx
presentation_conf_bsuir.pptx
 
 
pygco_test.py
pygco_test.py
 
 
report.pdf
report.pdf
 
 
report.rtf
report.rtf
 
 
results_vusualization.ipynb
results_vusualization.ipynb
 
 
run_all_experiments.py
run_all_experiments.py
 
 
run_boruta_model_experiment.py
run_boruta_model_experiment.py
 
 
run_experiment.py
run_experiment.py
 
 
run_extender_frn_model_experiment.py
run_extender_frn_model_experiment.py
 
 
run_extender_robust_model_experiment.py
run_extender_robust_model_experiment.py
 
 
run_extender_selector_model_experiment.py
run_extender_selector_model_experiment.py
 
 
run_frn_model_experiment.py
run_frn_model_experiment.py
 
 
run_model_experiment.py
run_model_experiment.py
 
 
run_selector_model_experiment.py
run_selector_model_experiment.py
 
 
saving_results.py
saving_results.py
 
 
testing.py
testing.py
 
 
testing_framework.ipynb
testing_framework.ipynb
 
 
wrappers.py
wrappers.py
 
 

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diploma

dependencies:

  1. boost

  2. boost-python

  3. boost-numpy

  4. google sparse-hash

  5. python

  6. scikit-learn

  7. numpy

  8. matplotlib

  9. pandas

  10. jupyter

  11. Cython

  12. wget

  13. pygco

  14. xgboost

  15. boruta

  16. networkx

  17. hyperopt

  18. numba

how to run:

  1. sudo sh install_dependencies.sh

  2. make

  3. LD_LIBRARY_PATH="/usr/local/lib" jupyter notebook

  4. open testing_framework.ipynb

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