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Installation

To install the basic project dependencies, first activate a Python 3 virtual environment and from the root of the project run the command:

pip install .

Project structure

Every research project contains the scripts, data, results, analysis and content directories.

scripts

It is the entry point every project. To install the required dependencies from the scripts directory run the command:

pip install -r requirements.txt

In order to generate the content of the publication in a reproducible format, various scripts are provided.

data.py

Download and save the datasets used for the experiments:

python data.py

results.py

Run the experiments and get the results:

python results.py

analysis.py

Analyze the results of experiments:

python analysis.py

data

It contains the experimental data. They are downloaded and saved, using the data.py script.

results

It contains the results of experiments as pickled pandas dataframes. They are generated, using the results.py script.

analysis

It contains the analysis of experiments' results in various formats. They are generated, using the analysis.py script.

content

It contains the LaTex source files of the project.

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IMS Machine Learning Lab publications.

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  • TeX 65.6%
  • PostScript 29.0%
  • Python 5.4%