Multiple Instance Learning

This repository holds all the necessary code to run the very-same experiments described in the paper "".

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References

If you use our work to fulfill any of your needs, please cite us:

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Structure

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Package Guidelines

Installation

Install all the pre-needed requirements using:

pip install -r requirements.txt

Install Optimum-Path Forest library as following:

git clone https://github.com/jppbsi/libopf
cd LibOPF
make
gcc -Wl,-soname,OPF -o OPF.so -shared -fPIC src/OPF.c src/util/common.c src/util/gqueue.c src/util/realheap.c src/util/set.c src/util/sgctree.c src/util/subgraph.c -I include/ -I include/util/

go to your home directory, open .bashrc (Linux) or .bash_profile (OSX) and add the following line:

export OPF_DIR=<path where LibOPF has been installed>

Usage

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Support

We know that we do our best, but it is inevitable to acknowledge that we make mistakes. If you ever need to report a bug, report a problem, talk to us, please do so! We will be available at our bests at this repository or [email protected].

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