diff options
Diffstat (limited to 'misc/py-orange3-educational')
-rw-r--r-- | misc/py-orange3-educational/Makefile | 29 | ||||
-rw-r--r-- | misc/py-orange3-educational/distinfo | 3 | ||||
-rw-r--r-- | misc/py-orange3-educational/pkg-descr | 4 |
3 files changed, 0 insertions, 36 deletions
diff --git a/misc/py-orange3-educational/Makefile b/misc/py-orange3-educational/Makefile deleted file mode 100644 index 6677cf06db39..000000000000 --- a/misc/py-orange3-educational/Makefile +++ /dev/null @@ -1,29 +0,0 @@ -PORTNAME= orange3-educational -DISTVERSION= 0.4.0 -PORTREVISION= 3 -CATEGORIES= misc education python -PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX} - -MAINTAINER= yuri@FreeBSD.org -COMMENT= Orange add-on: widgets for machine learning and data mining -WWW= https://github.com/biolab/orange3-educational - -LICENSE= CC-BY-3.0 -LICENSE_FILE= ${WRKSRC}/LICENSE - -DEPRECATED= Depends on expiring misc/orange3 -EXPIRATION_DATE=2025-06-21 - -RUN_DEPENDS= orange3>0:misc/orange3 \ - ${PYNUMPY} \ - ${PYTHON_PKGNAMEPREFIX}beautifulsoup>0:www/py-beautifulsoup@${PY_FLAVOR} - -USES= python -USE_PYTHON= distutils autoplist - -USE_GITHUB= yes -GH_ACCOUNT= biolab - -NO_ARCH= yes - -.include <bsd.port.mk> diff --git a/misc/py-orange3-educational/distinfo b/misc/py-orange3-educational/distinfo deleted file mode 100644 index 1e548262fe99..000000000000 --- a/misc/py-orange3-educational/distinfo +++ /dev/null @@ -1,3 +0,0 @@ -TIMESTAMP = 1618867149 -SHA256 (biolab-orange3-educational-0.4.0_GH0.tar.gz) = e8f452214a4fc9ad15ccb7c8328850cebb6a38aa483cb4763f1544c41ccd80d8 -SIZE (biolab-orange3-educational-0.4.0_GH0.tar.gz) = 3364301 diff --git a/misc/py-orange3-educational/pkg-descr b/misc/py-orange3-educational/pkg-descr deleted file mode 100644 index d11003ee2d89..000000000000 --- a/misc/py-orange3-educational/pkg-descr +++ /dev/null @@ -1,4 +0,0 @@ -Widgets in the educational add-on demonstrate several key data mining and -machine learning procedures. The widgets are useful for beginners to -understand the inner working of key algorithms in the data mining and for -teachers to be able to visually explain various methods in a classroom. |