私は非常に苛立たしい問題を抱えています。私はruby1.8.7を使用して自宅のマシンにubuntu12.04を持っており、自宅のマシンで完全にコンパイルおよび実行されるプロジェクトをほとんど完了していませんが、大学のラボに移植したとき（グレードを取得するにはコンパイルする必要があります） 、ruby 1.8.7も実行しています）次のエラーが発生します：
`require': no such file to load -- bigdecimal (LoadError)
私が必要としているBigDecimalクラスは、プロジェクトの対数計算で浮動小数点の精度を上げるために必要なクラスです。なぜこれが問題になるのかを誰かが私に解読するのを手伝ってもらえますか？BigDecimalクラスは1.8.7のrubyコアライブラリに含まれていると思いましたか？ここで何かが足りませんか？編集：コンパイルされているコード。
`#this is the language model generator
require "trainer"
require "bigdecimal"
class Model
attr_accessor :frequency_tables
def initialize(trainer, test_file)
@trainer = trainer
@frequency_tables = []
@frequency_tables[0] = trainer.corpus
@frequency_tables[1] = trainer.freq
@frequency_tables[2] = trainer.bifreq
@frequency_tables[3] = trainer.trifreq
@frequency_tables[4] = trainer.word_count()
@frequency_tables[5] = trainer.vocab_count()
end
def unigram_count(string)
string.upcase!
return @frequency_tables[1][string]
end
def bigram_count(string)
string.upcase!
return @frequency_tables[2][string]
end
def trigram_count(string)
string.upcase!
return @frequency_tables[3][string]
end
def round(float)
return ((float * 10000).round.to_f) / 10000
end
def process_unigram(sentence)
probability = BigDecimal.new("1")
sen_arr = sentence.split(" ")
sen_arr.each { |word|
# binding.pry
probability *= (BigDecimal.new(unigram_count(word).to_s()) / BigDecimal.new(@frequency_tables[4].to_s()))
}
unless probability.eql? 0
val= ((Math.log(probability)/Math.log(2)))
return retval = round(val)
end
return "undefined"
end
def process_bigram(sentence)
probability = BigDecimal.new("1")
sen_arr = sentence.split(" ")
for i in (0..(sen_arr.length-1))
unless i == 0
denom = BigDecimal.new(unigram_count(sen_arr[i-1]).to_s())/BigDecimal.new(@frequency_tables[4].to_s())
unless denom.eql? 0
probability *= (BigDecimal.new(bigram_count(sen_arr[i-1]+" "+sen_arr[i]).to_s()) / BigDecimal.new(@frequency_tables[4].to_s()))/denom
else
probability = 0
end
else
probability *= (BigDecimal.new(bigram_count("PHI "+sen_arr[i]).to_s()) / BigDecimal.new(@frequency_tables[4].to_s())) / (BigDecimal.new(unigram_count("PHI").to_s())/BigDecimal.new(@frequency_tables[4].to_s()))
end
end
unless probability.eql? 0
val= ((Math.log(probability)/Math.log(2)))
retval = round(val)
return retval
end
return "undefined"
end
def process_trigram(sentence)
probability = BigDecimal.new("1")
sen_arr = sentence.split(" ")
for i in (0..(sen_arr.length-1))
if i >= 2
denom = (BigDecimal.new(bigram_count(sen_arr[i-2]+" "+sen_arr[i-1]).to_s()))
unless denom.eql? 0
probability *= (BigDecimal.new(trigram_count(sen_arr[i-2]+" "+sen_arr[i-1]+" "+sen_arr[i]).to_s()))/denom
else
probability *= 0
end
elsif i == 1
denom = (BigDecimal.new(bigram_count("PHI "+sen_arr[i-1]).to_s()))
unless denom.eql? 0
probability *= (BigDecimal.new(trigram_count("PHI "+sen_arr[i-1]+" "+sen_arr[i]).to_s()))/denom
else
probability = 0
end
else
probability *= (BigDecimal.new(trigram_count("PHI PHI "+sen_arr[i]).to_s())) / (BigDecimal.new(unigram_count("PHI").to_s()))
end
end
unless probability.eql? 0
val= ((Math.log(probability)/Math.log(2)))
retval = round(val)
return retval
end
return "undefined"
end
def process_smooth_bigram(sentence)
probability = BigDecimal.new("1")
sen_arr = sentence.split(" ")
for i in (0..(sen_arr.length-1))
unless i == 0
bigram_c = bigram_count(sen_arr[i-1]+" "+sen_arr[i])+1
ugram_c = unigram_count(sen_arr[i-1])+@frequency_tables[5]
probability *= (BigDecimal.new(bigram_c.to_s()))/(BigDecimal.new(ugram_c.to_s()))
else
probability *= (BigDecimal.new((bigram_count("PHI "+sen_arr[i])+1).to_s())) / (BigDecimal.new((unigram_count("PHI")+@frequency_tables[5]).to_s()))
end
end
unless probability.eql? 0
val= ((Math.log(probability)/Math.log(2)))
retval = round(val)
return retval
end
return "undefined"
end
def process_smooth_trigram(sentence)
probability = BigDecimal.new("1")
sen_arr = sentence.split(" ")
for i in (0..(sen_arr.length-1))
if i >= 2
denom = (BigDecimal.new((bigram_count(sen_arr[i-2]+" "+sen_arr[i-1])+@frequency_tables[5]).to_s()))
probability *= (BigDecimal.new((trigram_count(sen_arr[i-2]+" "+sen_arr[i-1]+" "+sen_arr[i])+1).to_s()))/denom
elsif i == 1
denom = (BigDecimal.new((bigram_count("PHI "+sen_arr[i-1])+@frequency_tables[5]).to_s()))
probability *= (BigDecimal.new((trigram_count("PHI "+sen_arr[i-1]+" "+sen_arr[i])+1).to_s()))/denom
else
probability *= (BigDecimal.new((trigram_count("PHI PHI "+sen_arr[i])+1).to_s())) / (BigDecimal.new((unigram_count("PHI")+@frequency_tables[5]).to_s()))
end
end
unless probability.eql? 0
val= ((Math.log(probability)/Math.log(2)))
retval = round(val)
return retval
end
return "undefined"
end
end`