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This repository holds the source code and raw experimental results of ICDM 2021 paper DM487. This repository is for reviewing purposes only. All identity information of the authors has been hidden.

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Installation

Dependencies

The hiDF package requires

  • Python (>= 3.3)
  • Numpy (>= 1.8.2)
  • Scipy (>= 0.13.3)
  • Cython
  • pydotplus
  • matplotlib
  • jupyter
  • pyyaml
  • scikit-learn (>= 0.22)

Before the installation, please make sure you installed the above python packages correctly via pip:

pip install cython numpy scikit-learn pydotplus jupyter pyyaml matplotlib

Basic setup and installation

Installing hiDF package is simple. Just clone this repo and use pip install.

Go to the hiDF folder and use pip install:

pip install -e .

If hiDF is installed successfully, you should be able to see it using pip list:

pip list | grep hiDF

and you should be able to run all the tests (assume the working directory is in the package hiDF):

python hiDF/hiDFtest/test.py

Result of Adult Dataset

Accuracy: 86.90 ± 0.05  
F1:    86.43 ± 0.07

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This repository holds the source code and raw experimental results of ICDM 2021 paper DM487. This repository is for reviewing purposes only. All identity information of the authors has been hidden.

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