'''
Created on Aug 22, 2015
@author: cptullio
Generating TopRank
'''
from parametering.ParameterUtil import ParameterUtil
from parametering.Parameterization import Parameterization
from calculating.Calculate import Calculate
from analysing.Analyse import Analyse
from formating.FormatingDataSets import FormatingDataSets
from calculating.VariableSelection import VariableSelection
if __name__ == '__main__':
util = ParameterUtil(parameter_file = 'data/formatado/arxiv/exemplomenor/config/config.txt')
myparams = Parameterization(t0 = util.t0, t0_ = util.t0_, t1 = util.t1, t1_ = util.t1_, linear_combination=util.linear_combination,
filePathGraph = util.graph_file, filePathTrainingGraph = util.trainnig_graph_file, filePathTestGraph = util.test_graph_file, decay = util.decay, domain_decay = util.domain_decay, min_edges = util.min_edges, scoreChoiced = util.ScoresChoiced, weightsChoiced = util.WeightsChoiced, weightedScoresChoiced = util.WeightedScoresChoiced, FullGraph = None, result_random_file=util.result_random_file)
myparams.generating_Training_Graph()
myparams.generating_Test_Graph()
selection = VariableSelection(myparams.trainnigGraph)
nodesNotLinked = selection.readingResultsFile(util.nodes_notlinked_file)
resultsRank = Analyse.AnalyseNodesInFuture(nodesNotLinked, myparams.testGraph)
Analyse.saving_analyseResult(resultsRank, util.result_random_file)
print resultsRank
print Analyse.reading_analyseResult(util.result_random_file)
from calculating.VariableSelection import VariableSelection
if __name__ == '__main__':
util = ParameterUtil(parameter_file = 'data/formatado/arxiv/exemplomenor/config/config.txt')
myparams = Parameterization(t0 = util.t0, t0_ = util.t0_, t1 = util.t1, t1_ = util.t1_, linear_combination=util.linear_combination,
filePathGraph = util.graph_file, filePathTrainingGraph = util.trainnig_graph_file, filePathTestGraph = util.test_graph_file, decay = util.decay, domain_decay = util.domain_decay, min_edges = util.min_edges, scoreChoiced = util.ScoresChoiced, weightsChoiced = util.WeightsChoiced, weightedScoresChoiced = util.WeightedScoresChoiced, FullGraph = None, result_random_file=util.result_random_file)
myparams.generating_Training_Graph()
myparams.generating_Test_Graph()
selecao = VariableSelection(myparams.trainnigGraph)
nodesNotLinked = selecao.readingResultsFile(util.nodes_notlinked_file)
calc = CalculateInMemory(myparams, myparams.trainnigGraph)
resultsNormalized = calc.reading_calculateResult_normalized(util.calculated_file)
AnalyseNodesnotLinkedInFuture = Analyse.reading_analyseResult(util.result_random_file)
topRank = Analyse.get_topRank(AnalyseNodesnotLinkedInFuture)
orderResult = []
if myparams.linear_combination:
resultCombination = calc.combinate_linear(resultsNormalized)
orderResult = calc.ordering_combinate_linear(topRank, resultCombination)
else:
orderResult = calc.ordering(topRank, resultsNormalized)
FinalResult = []
for featureOrderResult in orderResult:
final = Analyse.AnalyseNodesInFuture(featureOrderResult, myparams.testGraph)
FinalResult.append(final)
Analyse.saving_analyseResult(FinalResult, util.analysed_file)