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Contents
require 'libsvm/version'
require 'libsvm/libsvm_ext'
require 'libsvm/node'
module Libsvm
# Module with constants for values that allowed for
# {Libsvm::SvmParameter#svm_type}. The value controls which kind of
# model is being trained.
#
# See the relevant section in the LIBSVM
# README[https://github.com/cjlin1/libsvm/blob/master/README#389]
# for more information.
module SvmType; end
module CoreExtensions
module Collection
# @!method to_example
#
# Converts this collection into an array of feature.
#
# { 1 => 0.4, 3 => 0.5, 5 => 0.9 }.to_example
# # => [#<Libsvm::Node: index=1, value=0.4>, #<Libsvm::Node: index=3, value=0.5>, #<Libsvm::Node: index=5, value=0.9>]
# { 1 => 0.4, 3 => 0.5, 5 => 0.9 }.to_example
# # => [#<Libsvm::Node: index=1, value=0.4>, #<Libsvm::Node: index=3, value=0.5>, #<Libsvm::Node: index=5, value=0.9>]
# [0.4, 0.5, 0.9].to_example
# # => [#<Libsvm::Node: index=0, value=0.4>, #<Libsvm::Node: index=1, value=0.5>, #<Libsvm::Node: index=2, value=0.9>]
# [ [1, 0.4], [3, 0.5], [5, 0.9] ].to_example
# # => [#<Libsvm::Node: index=1, value=0.4>, #<Libsvm::Node: index=3, value=0.5>, #<Libsvm::Node: index=5, value=0.9>]
#
# An array of features is the type used for classification and model learning.
#
# @note In an upcoming major release this core extension will become no longer included in Hash and Array, but rather be optional.
#
# @return [Array<Libsvm::Node>]
def to_example
Node.features(self)
end
end
end
end
class Hash
include Libsvm::CoreExtensions::Collection
end
class Array
include Libsvm::CoreExtensions::Collection
end
Version data entries
7 entries across 7 versions & 1 rubygems