You've already forked macports-ports
mirror of
https://github.com/macports/macports-ports.git
synced 2026-07-12 18:20:25 -07:00
Renee Otten
39 lines
1.4 KiB
Tcl
39 lines
1.4 KiB
Tcl
# -*- 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 0.5.9.post2
|
|
revision 0
|
|
|
|
platforms {darwin any}
|
|
supported_archs noarch
|
|
license BSD
|
|
maintainers nomaintainer
|
|
|
|
description Uniform Manifold Approximation and Projection
|
|
long_description {*}${description}(UMAP) is a dimension reduction technique \
|
|
that can be used for visualisation similarly to t-SNE, but \
|
|
also for general non-linear dimension reduction.
|
|
|
|
homepage https://github.com/lmcinnes/umap
|
|
|
|
distname umap_learn-${version}
|
|
|
|
checksums rmd160 6350ae5b14a952219e06164b7cdde2828ac4d633 \
|
|
sha256 bdf60462d779bd074ce177a0714ced17e6d161285590fa487f3f9548dd3c31c9 \
|
|
size 95441
|
|
|
|
python.versions 313
|
|
|
|
if {${name} ne ${subport}} {
|
|
depends_run-append \
|
|
port:py${python.version}-numba \
|
|
port:py${python.version}-numpy \
|
|
port:py${python.version}-pynndescent \
|
|
port:py${python.version}-scikit-learn \
|
|
port:py${python.version}-scipy \
|
|
port:py${python.version}-tqdm
|
|
}
|