Installing
UMAP depends upon scikit-learn, and thus scikit-learn's dependencies such as numpy and scipy. UMAP adds a requirement for numba for performance reasons. The original version used Cython, but the improved code clarity, simplicity and performance of Numba made the transition necessary.
Requirements:
(1) numpy
(2) scipy
(3) scikit-learn
(4) numba
Install Options
Conda install, via the excellent work of the conda-forge team:
conda install -c conda-forge umap-learn
The conda-forge packages are available for linux, OS X, and Windows 64 bit.
PyPI install, presuming you have numba and sklearn and all its requirements (numpy and scipy) installed:
pip install umap-learn
If pip is having difficulties pulling the dependencies then we'd suggest installing the dependencies manually using anaconda followed by pulling umap from pip:
conda install numpy scipy
conda install scikit-learn
conda install numba
pip install umap-learn
For a manual install get this package:
wget https://github.com/lmcinnes/umap/archive/master.zip
unzip master.zip
rm master.zip
cd umap-master
Install the requirements
sudo pip install -r requirements.txt
or
conda install scikit-learn numba
Install the package
python setup.py install
