python/scikit-learn: Added (machine learning and data mining).

Signed-off-by: Willy Sudiarto Raharjo <willysr@slackbuilds.org>

python/scikit-learn/README

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+scikit-learn is an open source Python library that implements a range of
+machine learning, preprocessing, cross-validation and visualization algorithms
+using a unified interface.

python/scikit-learn/scikit-learn.SlackBuild

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+#!/bin/sh
+#
+# SlackBuild for scikit-learn
+#
+# Copyright 2016 Benjamin Trigona-Harany <slackbuilds@jaxartes.net>
+#
+# Redistribution and use of this script, with or without modification, is
+# permitted provided that the following conditions are met:
+#
+# 1. Redistributions of this script must retain the above copyright
+#    notice, this list of conditions and the following disclaimer.
+#
+# THIS SOFTWARE IS PROVIDED BY THE AUTHOR ''AS IS'' AND ANY EXPRESS OR IMPLIED
+# WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF
+# MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO
+# EVENT SHALL THE AUTHOR BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL,
+# SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+# PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS;
+# OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY,
+# WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR
+# OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF
+# ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+PRGNAM=scikit-learn
+VERSION=${VERSION:-0.18}
+BUILD=${BUILD:-1}
+TAG=${TAG:-_SBo}
+
+if [ -z "$ARCH" ]; then
+  case "$( uname -m )" in
+    i?86) ARCH=i586 ;;
+    arm*) ARCH=arm ;;
+       *) ARCH=$( uname -m ) ;;
+  esac
+fi
+
+CWD=$(pwd)
+TMP=${TMP:-/tmp/SBo}
+PKG=$TMP/package-$PRGNAM
+OUTPUT=${OUTPUT:-/tmp}
+
+if [ "$ARCH" = "i586" ]; then
+  SLKCFLAGS="-O2 -march=i586 -mtune=i686"
+  LIBDIRSUFFIX=""
+elif [ "$ARCH" = "i686" ]; then
+  SLKCFLAGS="-O2 -march=i686 -mtune=i686"
+  LIBDIRSUFFIX=""
+elif [ "$ARCH" = "x86_64" ]; then
+  SLKCFLAGS="-O2 -fPIC"
+  LIBDIRSUFFIX="64"
+else
+  SLKCFLAGS="-O2"
+  LIBDIRSUFFIX=""
+fi
+
+set -e
+
+rm -rf $PKG
+mkdir -p $TMP $PKG $OUTPUT
+cd $TMP
+rm -rf $PRGNAM-v$VERSION
+tar xvf $CWD/$PRGNAM-$VERSION.tar.gz || tar xvf $CWD/$VERSION.tar.gz
+cd $PRGNAM-$VERSION
+chown -R root:root .
+find -L . \
+ \( -perm 777 -o -perm 775 -o -perm 750 -o -perm 711 -o -perm 555 \
+  -o -perm 511 \) -exec chmod 755 {} \; -o \
+ \( -perm 666 -o -perm 664 -o -perm 640 -o -perm 600 -o -perm 444 \
+  -o -perm 440 -o -perm 400 \) -exec chmod 644 {} \;
+
+python setup.py install --root=$PKG
+
+mkdir -p $PKG/usr/doc/$PRGNAM-$VERSION
+cp -a AUTHORS.rst COPYING README.rst $PKG/usr/doc/$PRGNAM-$VERSION
+cat $CWD/$PRGNAM.SlackBuild > $PKG/usr/doc/$PRGNAM-$VERSION/$PRGNAM.SlackBuild
+
+mkdir -p $PKG/install
+cat $CWD/slack-desc > $PKG/install/slack-desc
+
+cd $PKG
+/sbin/makepkg -l y -c n $OUTPUT/$PRGNAM-$VERSION-$ARCH-$BUILD$TAG.${PKGTYPE:-tgz}

python/scikit-learn/scikit-learn.info

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+PRGNAM="scikit-learn"
+VERSION="0.18"
+HOMEPAGE="http://scikit-learn.org"
+DOWNLOAD="https://github.com/scikit-learn/scikit-learn/archive/0.18/scikit-learn-0.18.tar.gz"
+MD5SUM="70716d91e10a2142768f8a551aebb20f"
+DOWNLOAD_x86_64=""
+MD5SUM_x86_64=""
+REQUIRES="scipy"
+MAINTAINER="Benjamin Trigona-Harany"
+EMAIL="slackbuilds@jaxartes.net"

python/scikit-learn/slack-desc

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+# HOW TO EDIT THIS FILE:
+# The "handy ruler" below makes it easier to edit a package description.
+# Line up the first '|' above the ':' following the base package name, and
+# the '|' on the right side marks the last column you can put a character in.
+# You must make exactly 11 lines for the formatting to be correct.  It's also
+# customary to leave one space after the ':' except on otherwise blank lines.
+
+            |-----handy-ruler------------------------------------------------------|
+scikit-learn: scikit-learn (machine learning and data mining for Python)
+scikit-learn:
+scikit-learn: scikit-learn is an add-on package for SciPy that provides Python 
+scikit-learn: modules for machine learning and data mining.
+scikit-learn: 
+scikit-learn: 
+scikit-learn:
+scikit-learn:
+scikit-learn:
+scikit-learn:
+scikit-learn: