class Spark::Mllib::MatrixAdapter
Public Class Methods
new(*args)
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# File lib/spark/mllib/ruby_matrix/matrix_adapter.rb, line 7 def self.new(*args) object = self.allocate if args.size == 2 # Matrix is initialized from Matrix # Arguments: rows, column count object.__send__(:original_initialize, *args) else object.__send__(:initialize, *args) end object end
new(type, rows, cols, values=nil)
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Calls superclass method
# File lib/spark/mllib/ruby_matrix/matrix_adapter.rb, line 23 def initialize(type, rows, cols, values=nil) case type when :dense values = values.dup if rows * cols == values.size # Values are on one row # 2x2 => [1,2,3,4] values = values.each_slice(cols).to_a else # 2x2 => [[1,2], [3,4]] end when :sparse values = Array.new(rows) { Array.new(cols) { 0.0 } } else raise Spark::MllibError, 'Unknow vector type.' end super(values, cols) end
Also aliased as: original_initialize
Public Instance Methods
shape()
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# File lib/spark/mllib/ruby_matrix/matrix_adapter.rb, line 43 def shape [row_count, column_count] end
values()
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# File lib/spark/mllib/ruby_matrix/matrix_adapter.rb, line 47 def values @values || to_a end