Quantum Machine Learning
QML is a Python2/3-compatible toolkit for representation learning of properties of molecules and solids. QML is not a high-level framework where you can do model.train(), but supplies the building blocks to carry out efficient and accurate machine learning on chemical compounds. As such, the goal is to provide usable and efficient implementations of concepts such as representations and kernels, which can then be implemented in other machine learning codes.
Current list of contributors:
- Anders S. Christensen (University of Basel)
- Felix Faber (University of Basel)
- Bing Huang (University of Basel)
- Lars A. Bratholm (University of Copenhagen)
- Alexandre Tkatchenko (University of Luxembourg)
- Klaus-Robert Müller (Technische Universität Berlin/Korea University)
- O.Anatole von Lilienfeld (University of Basel)
1) Citing QML:
Until the preprint is available from arXiv, please cite this GitHub repository as:
AS Christensen, F Faber, B Huang, LA Bratholm, OA von Lilienfeld (2017) "QML: A Python Toolkit for Quantum Machine Learning" https://github.com/qmlcode/qml
Installing prerequisite modules (for most Linux systems):
sudo apt-get install python-pip gfortran libblas-dev liblapack-dev git
These should already be installed on most systems. The Intel compilers and MKL math-libraries are supported as well (see section 1.3).
2.1) Installing via pip:
The easiest way to install the stable version from the Python Package Index (PyPI) is using the official, built-in Python package manager, pip:
pip install qml --user -U
Alternatively, you can install the most recent stable development snapshot directly from GitHub:
pip install git+https://github.com/qmlcode/qml --user -U
Use pip2 install ... or pip3 install ... to get the Python2 or Python3 versions explicitly. QML supports both flavors.
To uninstall simply use pip again.
pip uninstall qml
2.2) Installing via setup.py with Intel compiler:
If you have Intel compilers installed (2016 and newer), you can compile QML with Ifort/MKL using the following options:
pip install git+https://github.com/qmlcode/qml.git --user --upgrade --global-option="build" --global-option="--compiler=intelem" --global-option="--fcompiler=intelem"
2.3) Note on Apple/Mac support:
Installing QML requires a Fortran compiler. On Darwin you can install it using brew:
brew install gcc
Note the Clang Fortran compiler from brew unfortunately does not support OpenMP. Therefore parallelism via OpenMP is disabled as default for Darwin systems.
3) Get help:
Documentation in found in the file `DOCUMENTATION.md <../blob/master/DOCUMENTATION.md>`__.
QML is freely available under the terms of the MIT license.
Release history Release notifications | RSS feed
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
|Filename, size||File type||Python version||Upload date||Hashes|
|Filename, size qml-0.2.12.tar.gz (14.2 kB)||File type Source||Python version None||Upload date||Hashes View|