gitter-lab / pria_lifechem Goto Github PK

When I used
python sklearn_randomforest.py --config_json_file=../../json/sklearn_randomforest.json --model_dir=$results_and_model_directory --dataset_dir=$path_to_dataset --process_num=$process --stage=0

to train random forest models, I got the following error message:
Traceback (most recent call last):
File "sklearn_randomforest.py", line 151, in
process_num = int(given_args.process_num)
ValueError: invalid literal for int() with base 10: ' '

I found given_args.process_num is a space ' ', so it can not be changed into an integer. Any advice? Many thanks.

Now that our screening datasets are available on Zenodo, we could write a Python script that downloads the files to the dataset subdirectory and creates the directory structure expected by the model training code.

Thank you for sharing your code.
You selected several better models and compare their performance. In the end, you only chose the best model for your final model. I don't know why you didn't ensemble your models to become a better final model. Possibly, this final model performs better than your the best single model.

I tried to run your test.ipynb. But I couldn't find '../../json/sklearn_randomforest_keck_pria_only.json' this file in you github. Would you like to provide it? Thanks