# -*- coding: utf-8; mode: tcl; tab-width: 4; indent-tabs-mode: nil; c-basic-offset: 4 -*- vim:fenc=utf-8:ft=tcl:et:sw=4:ts=4:sts=4 PortSystem 1.0 PortGroup python 1.0 name py-umap-learn version 0.5.1 platforms {darwin any} supported_archs noarch license BSD maintainers nomaintainer description Uniform Manifold Approximation and Projection long_description Uniform Manifold Approximation and Projection \ (UMAP) is a dimension reduction technique that can \ be used for visualisation similarly to t-SNE, but \ also for general non-linear dimension reduction. homepage http://github.com/lmcinnes/umap checksums rmd160 c922b5c74b1a72c19fbb7cd69167204c45545ae2 \ sha256 3e3e5e526109866012a9da79f423c922edc379c6cac9bf65ea08fbb9dd93ff3a \ size 80906 python.versions 38 39 python.pep517 yes if {${name} ne ${subport}} { depends_run-append \ port:py${python.version}-numba \ port:py${python.version}-numpy \ port:py${python.version}-scikit-learn \ port:py${python.version}-scipy livecheck.type none }