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A scikit-learn compatible library for graph-kernels

Home Page: https://ysig.github.io/GraKeL/dev/

License: BSD 3-Clause "New" or "Revised" License

Batchfile 0.43% Shell 0.75% Python 69.97% C++ 28.06% C 0.78%

grakel's Introduction

GraKeL: A library for graph kernels

Travis Status Coverage Status CircleCI Status Appveyor status

grakel is a library compatible with the project of scikit-learn

Installing grakel

The grakel library requires:

  • Python [>=2.7, >= 3.5]
  • NumPy [>= 1.8.2]
  • SciPy [>= 0.13.3]
  • Cython [>= 0.27.3]
  • cvxopt [>= 1.2.0] [optional: lovasz]

For installing dependencies the procedure is the well known:

(sudo) pip install extension>=extension_version

depending on if pip has superuser privilages.

To install the development-version of the module execute:

$ (sudo) pip install grakel-dev

Usage

To learn how to use the GraKeL api as a user, please read the documentation on sections Introduction and A longer introduction (in case your are full of curiosity).

Testing

To test the package, execute:

$ nosetests

for executing unit_tests or use a testing-interface for testing the kernel module:

$ python  grakel/tests/test_kernels.py --help
usage: test_kernels.py [-h] [--verbose] [--problematic] [--slow]
                       [--ignore_warnings] [--dataset DATASET] [--normalize]
                       [--develop | --all | --main]

A test file for all kernels

optional arguments:
  -h, --help         show this help message and exit
  --verbose          print kernels with their outputs on stdout
  --problematic      allow execution of problematic test cases in development
  --slow             allow execution of slow test cases in development
  --ignore_warnings  ignore warnings produced by kernel executions
  --dataset DATASET  chose the datset you want the tests to be executed
  --normalize        normalize the kernel output
  --develop          execute only tests connected with current development
  --all              execute all tests
  --main             execute the main tests [default]

for testing graph_kernels:

$ python grakel/tests/test_graph_kernel.py --help
usage: test_graph_kernels.py [-h] [--verbose] [--problematic] [--slow]
                             [--normalize] [--ignore_warnings]
                             [--dataset DATASET] [--develop | --all | --main]

A test file for all kernels

optional arguments:
  -h, --help         show this help message and exit
  --verbose          print kernels with their outputs on stdout
  --problematic      allow execution of problematic test cases in development
  --slow             allow execution of slow test cases in development
  --normalize        normalize the kernel output
  --ignore_warnings  ignore warnings produced by kernel executions
  --dataset DATASET  chose the datset you want the tests to be executed
  --develop          execute only tests connected with current development
  --all              execute all tests
  --main             execute the main tests [default]

and for testing the Graph class:

$ python grakel/tests/test_graph.py --help
usage: test_graph.py [-h] [--verbose] [--ignore_warnings]

A test file for all `Graph` type objects

optional arguments:
  -h, --help         show this help message and exit
  --verbose          verbose outputs on stdout
  --ignore_warnings  ignore warnings produced by kernel executions

You can also execute the kernel test locally through a test-main-function as

$ python -m grakel.tests

but in order for this to work you would need first to build the package cython extension locally by executing:

$ python setup.py build_ext -i

Contributing

For learning how to read to integrate your own kernel, please read section Write your own kernel inside the package documentation. For contributing to the GraKeL project, please read section contributing inside the package documentation.

grakel's People

Contributors

ysig avatar vighneshbirodkar avatar mechcoder avatar tomdlt avatar bryandeng avatar fabianp avatar arokem avatar kjacks21 avatar

Watchers

Perakis Giorgos avatar

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