dldh-experiments
Stars
2
Ecosystems:
Python
Best-Worst Counting and Gaussian Process Preference Learning: A Detailed Comparison
Code for the experiments conducted in the context of the Deep Learning & Digital Humanities Seminar. For a detailed analysis of the results please take a look at this term paper.
Setup
Clone the repository:
git clone --recurse-submodules [email protected]:DrCracket/dldh-experiments.git
Install requirements:
pip install -r requirements.txt
Put the annotated poetry data in to the poems folder. The files are expected to be in unix-flavored csv format.
Put the file with real poems in the real_poems folder. The file should
contain all real poems separated with a newline.
Experiments
Train models and compute features:
python gppl.py && python crowdgppl.py
Run the experiments:
python main.py
Compute various statistics of the dataset:
python statistics.py