This repository is the implementation of 'NeuCrowd: Neural Sampling Network for Representation Learning with Crowdsourced Labels'.
- Python == 3.6
- tensorflow == 1.8
- scikit-learn (for matrics evaluation)
To develop locally, please follow the instruction below:
git clone git@github.com:tal-ai/NeuCrowd_KAIS2021.git
cd NeuCrowd_KAIS2021
Please convert your data into three csv data files (train.csv, valid.csv, test.csv) of correct format, each of which contains a label column which stand for the category(0/1). The rest columns are the feature columns.
Two example data sets used in the paper are stored in data folder.
You can train the model as follow:
cd src/
python trainRLL.py your_data_set_path
You can test the model as follow:
cd src/
python inference_neucrowd.py your_data_set_path
If you have any problem to the project, please feel free to report them as issues.