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56bd759df1
This commit represents a new era for Gentoo: Storing the gentoo-x86 tree in Git, as converted from CVS. This commit is the start of the NEW history. Any historical data is intended to be grafted onto this point. Creation process: 1. Take final CVS checkout snapshot 2. Remove ALL ChangeLog* files 3. Transform all Manifests to thin 4. Remove empty Manifests 5. Convert all stale $Header$/$Id$ CVS keywords to non-expanded Git $Id$ 5.1. Do not touch files with -kb/-ko keyword flags. Signed-off-by: Robin H. Johnson <robbat2@gentoo.org> X-Thanks: Alec Warner <antarus@gentoo.org> - did the GSoC 2006 migration tests X-Thanks: Robin H. Johnson <robbat2@gentoo.org> - infra guy, herding this project X-Thanks: Nguyen Thai Ngoc Duy <pclouds@gentoo.org> - Former Gentoo developer, wrote Git features for the migration X-Thanks: Brian Harring <ferringb@gentoo.org> - wrote much python to improve cvs2svn X-Thanks: Rich Freeman <rich0@gentoo.org> - validation scripts X-Thanks: Patrick Lauer <patrick@gentoo.org> - Gentoo dev, running new 2014 work in migration X-Thanks: Michał Górny <mgorny@gentoo.org> - scripts, QA, nagging X-Thanks: All of other Gentoo developers - many ideas and lots of paint on the bikeshed
24 lines
1.0 KiB
XML
24 lines
1.0 KiB
XML
<?xml version="1.0" encoding="UTF-8"?>
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<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd">
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<pkgmetadata>
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<herd>sci</herd>
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<longdescription lang="en">
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Milk is a machine learning toolkit in Python.
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Its focus is on supervised classification with several classifiers
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available: SVMs (based on libsvm), k-NN, random forests, decision
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trees. It also performs feature selection. These classifiers can be
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combined in many ways to form different classification systems.
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For unsupervised learning, milk supports k-means clustering and
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affinity propagation.
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Milk is flexible about its inputs. It optimised for numpy arrays, but
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can often handle anything (for example, for SVMs, you can use any
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dataype and any kernel and it does the right thing).
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There is a strong emphasis on speed and low memory usage. Therefore,
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most of the performance sensitive code is in C++. This is behind
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Python-based interfaces for convenience.
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</longdescription>
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<upstream>
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<remote-id type="pypi">milk</remote-id>
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</upstream>
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</pkgmetadata>
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