import Experiment1 as exp1
import Experiment5 as exp5
import Experiment6 as exp6
import CrossValidation as cross
def initialize():
dominios = parseDominio()
anotacoes = parseAnnotation()
atributos = ["type", "others", "hpos", "vpos", "next", "left", "right", "below", "above"]
targets = {"abs1":"e2", "abs3":"e2", "abs5":"e3", "proj1":"e2", "proj3":"e4", "proj5":"e2" }
return dominios, anotacoes, atributos, targets
if __name__ == '__main__':
dominios, anotacoes, atributos, targets = initialize()
anotacoes = exp1.run(dominios, anotacoes, atributos, targets)
folds = cross.crossValidation(anotacoes)
folds = exp5.run(dominios, folds, atributos, targets, 0.7)
folds = exp6.run(dominios, folds, atributos, targets, 0.7)
dice = []
diceGlobal = []
dicePersonalizado = []
diceGlobalSuperespecificado = []
dicePersonalizadoSuperespecificado = []
print "DICE \t DICE GLOBAL \t DICE PERSONALIZADO \t"
for fold in folds:
# from hcluster import *
import Assurance as ass
from ParserGIVE import *
import CrossValidation as cross
import Experiment1 as exp1
import Experiment2 as exp2
import Experiment3 as exp3
import Experiment4 as exp4
import Experiment5 as exp5
def initialize():
dominios = parseDominio()
anotacoes = parseAnnotation()
atributos = ['leftaround', 'right', 'orientation', 'color', 'straight', 'next', 'slightlyleft', 'rightaround', 'left', 'type', 'slightlyright']
return dominios, anotacoes, atributos
if __name__ == '__main__':
contextos, anotacoes, atributos = initialize()
folds = cross.crossValidation(10, anotacoes)
anotacoes = exp1.run(contextos, anotacoes, atributos)
exp2.run(contextos, folds, atributos)
exp3.run(contextos, folds, atributos)
exp4.run(contextos, folds, atributos)
exp5.run(contextos, folds, atributos)
def initialize():
anotacoes = parser.parseAnnotation()
dominios = parser.parseMapas()
participantes = anotacoes[1]
targets = {"1":["rest3"],"2":["cafe1"],"3":["drug3"],"4":["chur3"],"5":["pub1"],"6":["chur2","chur3"],"7":["rest1","rest2"],"8":["drug2","drug3"],"9":["drug3","drug4"],"10":["rest4","rest5"],"11":["rest3"],"12":["cafe1"],"13":["rest4","rest5"],"14":["chur3"],"15":["pub1"],"16":["chur2","chur3"],"17":["rest1","rest2"],"18":["drug2","drug3"],"19":["drug3","drug4"],"20":["rest4","rest5"]}
atributos = ["type","in","name","next-to","in-front-of","other","right-to","left-to","behind"]
return dominios, targets, anotacoes[0], atributos, participantes
if __name__ == '__main__':
dominios, targets, anotacoes, atributos, participantes = initialize()
folds = cross.crossValidation(10, anotacoes)
print "Machine Learning sem ID"
exp1.run(dominios, targets, folds, atributos, participantes, False)
print participantes
print "\n\n"
print "Machine Learning com ID"
exp1.run(dominios, targets, folds, atributos, participantes, True)
# anotacoesParticipante = {}
#
# for anotacao in anotacoes:
# participante = anotacao["caracteristicas"]["trial"]
# if participante not in anotacoesParticipante:
# anotacoesParticipante[participante] = []
# anotacoesParticipante[participante].append(anotacao)
#
# acuraciaTotal = 0.0
# diceTotal = []
