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Diffstat (limited to 'dev-python/milk/metadata.xml')
| -rw-r--r-- | dev-python/milk/metadata.xml | 20 |
1 files changed, 20 insertions, 0 deletions
diff --git a/dev-python/milk/metadata.xml b/dev-python/milk/metadata.xml new file mode 100644 index 000000000000..5f1b2d1639b3 --- /dev/null +++ b/dev-python/milk/metadata.xml @@ -0,0 +1,20 @@ +<?xml version="1.0" encoding="UTF-8"?> +<!DOCTYPE pkgmetadata SYSTEM "http://www.gentoo.org/dtd/metadata.dtd"> +<pkgmetadata> +<herd>sci</herd> +<longdescription lang="en"> + Milk is a machine learning toolkit in Python. + Its focus is on supervised classification with several classifiers + available: SVMs (based on libsvm), k-NN, random forests, decision + trees. It also performs feature selection. These classifiers can be + combined in many ways to form different classification systems. + For unsupervised learning, milk supports k-means clustering and + affinity propagation. + Milk is flexible about its inputs. It optimised for numpy arrays, but + can often handle anything (for example, for SVMs, you can use any + dataype and any kernel and it does the right thing). + There is a strong emphasis on speed and low memory usage. Therefore, + most of the performance sensitive code is in C++. This is behind + Python-based interfaces for convenience. +</longdescription> +</pkgmetadata> |