Implementation of the ann-based meta-features extractor, described in this paper.
Via conda:
conda env create -f env.yml
or via pip:
pip install requirements.txt
Run the code:
python3 extract.py --dataset-path <DATASET_PATH> --nr-inst <NUMBER_OF_INSTANCES>
Parameters:
--dataset-path: directory for you dataset (csv format)
--nr-inst: number of instances to be sampled from the original dataset (in case the dataset is too large)