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bin/results_test.rb
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upload system
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#!/usr/bin/env ruby
require "rubygems"
require "text-table"
class ConfusionMatrix
def initialize
@h = Hash.new()
@total = 0
end
def keys
@h.each do |key, value|
yield key
end
end
def store(actual, truth)
@h[ actual ] ||= {"tp" => 0, "tn" => 0, "fp" => 0, "fn" => 0}
@h[ truth ] ||= {"tp" => 0, "tn" => 0, "fp" => 0, "fn" => 0}
if actual == truth
@h[ actual ]["tp"] += 1
else
@h[ actual ]["fp"] += 1
@h[ truth ]["fn"] += 1
@h[ truth ]["tn"] += 1
end
@total += 1
end
def recall(name)
t = @h[ name ]["tp"].to_f + @h[name]["fn"].to_f
return 0 if t == 0
return (@h[ name]["tp"].to_f / ( @h[ name]["tp"] + @h[name]["fn"] ).to_f )
end
def precision(name)
t = @h[ name ]["tp"].to_f + @h[name]["fp"].to_f
return 0 if t == 0
return (@h[ name]["tp"].to_f / ( @h[ name]["tp"] + @h[name]["fp"] ).to_f )
end
def fscore(name)
return (2 * precision(name) * recall(name) ) / ( precision(name) + recall(name) )
end
def score_deft_2017
score = 0.0
@h.each do |key, value|
score += fscore(key)
end
return score / @h.size.to_f
end
def score_semeval_2016
return ( fscore("positive") + fscore("negative") ) / 2
end
def score_semeval_2017
return ( recall("positive") + recall("negative") + recall("neutral") ) / 3
end
def accuracy
somme = 0
@h.each do |key, values|
somme += values["tp"]
end
return somme.to_f / @total.to_f
end
def macro_fscore
counter = 0
p = 0
keys do |key|
p += fscore(key)
counter += 1
end
return p.to_f/counter.to_f
end
def macro_precision
counter = 0
p = 0
keys do |key|
p += precision(key)
counter += 1
end
return p.to_f/counter.to_f
end
def macro_recall
counter = 0
p = 0
keys do |key|
p += recall(key)
counter += 1
end
return p.to_f/counter.to_f
end
end
def get_scores(golds, results)
convert = {"negative" => 0, "positive" => 1, "objective" => 2, "mixed" => 3, "figurative" => 0, "nonfigurative" => 1}
score = ConfusionMatrix.new
h = Hash.new
golds.each do |gold|
f = File.open(gold)
f.each do |line|
line.chomp!
line = line.split("\t")
h[ line[0] ] = convert[ line[1] ]
end
f.close
end
results.each do |result|
if File.exist?( result ) == true
f = File.open(result)
f.each do |line|
line.chomp!
line = line.split("\t")
s = line[1].split(" ").map{ |x| x.to_f }
score.store( s.index(s.max), h[line[0]] )
end
f.close
end
end
return score.score_deft_2017.round(4)
end
def get_score(gold, results)
return "-" if File.exist?(results) == false
convert = {"negative" => 0, "positive" => 1, "objective" => 2, "mixed" => 3, "figurative" => 0, "nonfigurative" => 1}
score = ConfusionMatrix.new
h = Hash.new
f = File.open(gold)
f.each do |line|
line.chomp!
line = line.split("\t")
h[ line[0] ] = convert[ line[1] ]
end
f.close
f = File.open(results)
f.each do |line|
line.chomp!
line = line.split("\t")
s = line[1].split(" ").map{ |x| x.to_f }
score.store( s.index(s.max), h[line[0]] )
end
f.close
return score.score_deft_2017.round(4)
end
def moyenne(ar)
mean = 0.0
counter = 0.0
ar.each do |x|
if x != "-"
mean += x
counter += 1
end
end
if counter == 0.0
return 0.0
end
return mean/counter
end
def get_score_best_system( gold, best, kbest)
file_memory = Hash.new
best.each do |file|
file_memory[ file ] ||= Array.new
f = File.open(file)
f.each do |line|
line.chomp!
line = line.split("\t")
line[1] = line[1].split(" ").map! { |x| x.to_f }
file_memory[file].push( line )
end
f.close
end
convert = {"negative" => 0, "positive" => 1, "objective" => 2, "mixed" => 3, "figurative" => 0, "nonfigurative" => 1}
h = Hash.new
f = File.open(gold)
f.each do |line|
line.chomp!
line = line.split("\t")
h[ line[0] ] = convert[ line[1] ]
end
f.close
best_score = -1
best_name = nil
#best.repeated_combination(kbest).each do |x|
best.combination(kbest).each do |x|
score = ConfusionMatrix.new
s = Hash.new
x.each do |file|
#f = File.open(file)
#f.each do |line|
file_memory[file].each do |line|
#line.chomp!
#line = line.split("\t")
s[ line[0] ] ||= Array.new(4, 0)
counter = 0
line[1].each do |y|
s[ line[0] ][ counter ] += y
counter += 1
end
end
#f.close
end
s.each do |key, value|
score.store( value.index( value.max ), h[ key ] )
end
if best_score < score.score_deft_2017.round(4)
best_score = score.score_deft_2017.round(4)
best_name = x
end
end
p best_name
return best_score
end
def launch()
tasks = ["task1", "task2", "task3"]
embeddings = ["word2vecf", "wang2vec", "word2vec", "distant"]
sizes = ["100", "200", "300"]
hiddens = ["123", "345", "567"]
kfolds = ["0", "1", "2", "3"]
table = Text::Table.new()
table.head = ["System", "Kfold:0", "KFold:1", "KFold:2", "KFold:3", "Total \#1", "Total \#2"]
output_dir = "results_test"
tasks.each do |task|
best_task = Hash.new
embeddings.each do |embedding|
sizes.each do |size|
hiddens.each do |hidden|
temp = []
temp.push("#{task} #{embedding} #{size} #{hidden}")
golds = []
results = []
kfolds.each do |kfold|
temp.push( get_score( "data/#{task}_testGold.tokenize", "#{output_dir}/cnn_#{task}_#{kfold}_#{embedding}_size#{size}_#{hidden}.txt" ) )
golds.push( "data/#{task}_testGold.tokenize" )
results.push( "#{output_dir}/cnn_#{task}_#{kfold}_#{embedding}_size#{size}_#{hidden}.txt" )
if File.exist?("#{output_dir}/cnn_#{task}_#{kfold}_#{embedding}_size#{size}_#{hidden}.txt") == true
if File.size("#{output_dir}/cnn_#{task}_#{kfold}_#{embedding}_size#{size}_#{hidden}.txt") > 100
best_task[ kfold ] ||= Array.new
best_task[ kfold ].push( "#{output_dir}/cnn_#{task}_#{kfold}_#{embedding}_size#{size}_#{hidden}.txt" )
end
end
end
temp.push( get_scores( golds, results ) )
temp.push( moyenne( temp[1..-2] ) )
table.rows << temp
end
end
end
1.upto(1) do |top_best|
temp = []
temp.push( "Best system #{top_best}" )
kfolds.each do |kfold|
if best_task[ kfold ] != nil
s = get_score_best_system( "data/#{task}_testGold.tokenize", best_task[ kfold ], top_best )
temp.push( s )
else
temp.push( "-" )
end
end
temp.push( 0.0 )
temp.push( moyenne( temp[1..-2] ) )
p temp
table.rows << temp
end
end
puts table.to_s
end
def errarg
puts "Usage : ./programme.rb"
puts "Mickael Rouvier <mickael.rouvier@univ-avignon.fr>"
end
if ARGV.size == 0
launch()
else
errarg
end
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