Language

Package: shogun @ 6.1.3

Synopsis

Machine learning toolbox

Description

The Shogun Machine learning toolbox provides a wide range of unified and efficient Machine Learning (ML) methods. The toolbox seamlessly combines multiple data representations, algorithm classes, and general purpose tools. This enables both rapid prototyping of data pipelines and extensibility in terms of new algorithms.

Home page
https://shogun-toolbox.org/
Location
gnu/packages/machine-learning.scm (line: 606, column: 2)
License

Derivations

SystemTargetDerivationBuild status
x86_64-linux/gnu/store/87z1h9jzfds2z1v1gav3i8hp1qk22msj-shogun-6.1.3.drv

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inputs-should-be-native

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'swig' should probably be a native input
formatting

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line 692 is way too long (91 characters)
input-labels

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label 'numpy' does not match package name 'python-numpy'
input-labels

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label 'octave' does not match package name 'octave-cli'
input-labels

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label 'arpack' does not match package name 'arpack-ng'