MMLL: Musketeer Machine Learning Library

Installing

pip install git+https://github.com/Musketeer-H2020/MMLL.git

Dependencies

• six==1.15.0
• transitions==0.6.9
• pyparsing==2.3
• pygraphviz==1.5
• numpy==1.19.2
• sklearn==0.0
• scikit-learn
• matplotlib
• tensorflow==2.4.1
• phe==1.4.0
• dill==0.3.2
• tqdm==4.61.0
• pympler==0.8
• torchvision==0.8.1
• pillow==7.2.0
• skl2onnx==1.8.0
• sklearn2pmml==0.71.1
• tf2onnx==1.8.5

Content

The library supports the following Privacy Operation Modes (POMs) and models:

POM1:

• Kmeans
• Neural networks
• Support Vector Machine
• Federated Budget Support Vector Machine
• Distributed Support Vector Machine

POM2:

• Kmeans
• Neural networks
• Support Vector Machine
• Federated Budget Support Vector Machine

POM3:

• Kmeans
• Neural networks
• Support Vector Machine
• Federated Budget Support Vector Machine

POM4:

• Linear Regression
• Logistic Classifier
• Multiclass Logistic Classifier
• Clustering Kmeans
• Kernel Regression
• Budget Distributed Support Vector Machine

POM5:

• Linear Regression
• Logistic Classifier
• Multiclass Logistic Classifier
• Clustering Kmeans
• Kernel Regression
• Budget Distributed Support Vector Machine
• Multiclass Budget Distributed Support Vector Machine

POM6:

• Ridge Regression
• Logistic Classifier
• Multiclass Logistic Classifier
• Clustering Kmeans
• Kernel Regression
• Budget Distributed Support Vector Machine
• Multiclass Budget Distributed Support Vector Machine

Usage

Please, visit the following git repository that contains a collection of demos that illustrate the usage of this library:

MMLL-demo

Installation using Anaconda (Windows and Linux)

0. Requisites:

• Conda: https://www.anaconda.com
• Git client: https://git-scm.com/

1. Create conda environment:

conda create -n mmll python=3.7 pip

2. Activate environment:

conda activate mmll

3. Install dependencies:

pip install git+https://github.com/Musketeer-H2020/MMLL.git

Installation using venv in Linux

Alternatively, you can use Python venv built-in module to create a working environment.

1. Install Python 3.7:

sudo apt update
sudo apt install software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt install python3.7
sudo apt-get install python3.7-venv -y

2. Update pip:

python3.7 -m pip install --upgrade pip

3. Create virtual environment in your home folder:

cd ~
python3.7 -m venv mmll

Please note: "mmll" is the environment name. You can use whatever name you prefer.

4. Activate environment and install auxiliary libraries:

source ~/mmll/bin/activate
sudo apt-get install python3.7-dev -y

6. Install project library:

pip install git+https://github.com/Musketeer-H2020/MMLL.git

Acknowledgement

This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 824988. https://musketeer.eu/