def calculateAllSimilarities(self, similarityMetric):
self.similarityMetric = similarityMetric
self.outputFilename = "ldaSimilarities_A%s_B%s_T%s_I%s_S%s_N%s_M%s.txt" % (
self.alpha, self.beta, self.numTopics, self.iterations,
self.initialRandomSeed, self.normalizationMethod,
self.similarityMetric)
normTypeName = norm.getNormMethodName(self.normalizationMethod)
self.the_simMatrix = simMatrix.simMatrix()
simMetricName = self.the_simMatrix.getSimMetricName(similarityMetric)
updateString = "%s %s %s\n" % (self.outputFilename, normTypeName,
simMetricName)
self.the_simMatrix.assignTargetInfo(self.rowTypeSubList,
self.rowTypeSubDict,
self.rowTypeSubIndexDict)
self.the_simMatrix.assignMatrixData(self.rowTopic_Matrix)
self.the_simMatrix.initNewSimMatrix(self.chainDirectory,
self.outputFilename, updateString)
self.the_simMatrix.calculateAllSimilarities(similarityMetric)
self.the_simMatrix.outputSimilarityMatrix()
def calculateAllSimilarities(self, similarityMetric):
self.similarityMetric = similarityMetric
self.outputFilename = "tdSimilarities_N%s_M%s.txt" % (
self.normalizationMethod, self.similarityMetric)
normTypeName = norm.getNormMethodName(self.normalizationMethod)
self.the_simMatrix = simMatrix.simMatrix()
simMetricName = self.the_simMatrix.getSimMetricName(
self.similarityMetric)
updateString = "%s %s %s\n" % (self.outputFilename, normTypeName,
simMetricName)
self.the_simMatrix.assignTargetInfo(self.subTargetList,
self.subTargetDict,
self.subTargetIndexDict)
self.the_simMatrix.assignColumnInfo(self.subDocumentList,
self.subDocumentDict,
self.subDocumentIndexDict)
self.the_simMatrix.assignMatrixData(
self.normalizedTargetDocumentMatrix)
self.the_simMatrix.initNewSimMatrix(self.matrixDirectory,
"tdSimilarities",
self.outputFilename, updateString)
self.the_simMatrix.calculateAllSimilarities(similarityMetric)
self.the_simMatrix.outputSimilarityMatrix()
def calculateAllRowSimilarities(self, similarityMetric):
self.similarityMetric = similarityMetric
self.outputFilename = "svdSimilarities_D%s_N%s_M%s.txt" % (self.numDimensions, self.normalizationMethod, self.similarityMetric)
normTypeName = norm.getNormMethodName(self.normalizationMethod)
self.the_simMatrix = simMatrix.simMatrix()
simMetricName = self.the_simMatrix.getSimMetricName(similarityMetric)
updateString = "%s %s %s\n" % (self.outputFilename, normTypeName, simMetricName)
self.the_simMatrix.assignTargetInfo(self.rowSubList, self.rowSubDict, self.rowSubIndexDict)
self.the_simMatrix.assignMatrixData(self.normRowMatrix)
self.the_simMatrix.initNewSimMatrix(self.svdDirectory, "svdSimilarities", self.outputFilename, updateString)
self.the_simMatrix.calculateAllSimilarities(self.similarityMetric)
self.the_simMatrix.outputSimilarityMatrix()
def calculateAllRowSimilarities(self, similarityMetric):
self.similarityMetric = similarityMetric
self.outputFilename = "rvaSimilarities_N%s_M%s.txt" % (self.normalizationMethod, self.similarityMetric)
normTypeName = norm.getNormMethodName(self.normalizationMethod)
self.the_simMatrix = simMatrix.simMatrix()
simMetricName = self.the_simMatrix.getSimMetricName(similarityMetric)
updateString = "%s %s %s\n" % (self.outputFilename, normTypeName, simMetricName)
self.the_simMatrix.assignTargetInfo(self.rowSubList, self.rowSubDict, self.rowSubIndexDict)
self.the_simMatrix.assignMatrixData(self.normMemMatrix)
self.the_simMatrix.initNewSimMatrix(self.rvaDirectory, self.outputFilename, updateString)
self.the_simMatrix.calculateAllSimilarities(self.similarityMetric)
self.the_simMatrix.outputSimilarityMatrix()
def calculateAllSimilarities(self, similarityMetric):
self.similarityMetric = similarityMetric
self.outputFilename = "ldaSimilarities_A%s_B%s_T%s_I%s_S%s_N%s_M%s.txt" % (self.alpha, self.beta, self.numTopics, self.iterations, self.initialRandomSeed, self.normalizationMethod, self.similarityMetric)
normTypeName = norm.getNormMethodName(self.normalizationMethod)
self.the_simMatrix = simMatrix.simMatrix()
simMetricName = self.the_simMatrix.getSimMetricName(similarityMetric)
updateString = "%s %s %s\n" % (self.outputFilename, normTypeName, simMetricName)
self.the_simMatrix.assignTargetInfo(self.rowTypeSubList, self.rowTypeSubDict, self.rowTypeSubIndexDict)
self.the_simMatrix.assignMatrixData(self.rowTopic_Matrix)
self.the_simMatrix.initNewSimMatrix(self.chainDirectory, self.outputFilename, updateString)
self.the_simMatrix.calculateAllSimilarities(similarityMetric)
self.the_simMatrix.outputSimilarityMatrix()
def calculateAllSimilarities(self, similarityMetric):
self.similarityMetric = similarityMetric
self.outputFilename = "tdSimilarities_N%s_M%s.txt" % (self.normalizationMethod, self.similarityMetric)
normTypeName = norm.getNormMethodName(self.normalizationMethod)
self.the_simMatrix = simMatrix.simMatrix()
simMetricName = self.the_simMatrix.getSimMetricName(self.similarityMetric)
updateString = "%s %s %s\n" % (self.outputFilename, normTypeName, simMetricName)
self.the_simMatrix.assignTargetInfo(self.subTargetList, self.subTargetDict, self.subTargetIndexDict)
self.the_simMatrix.assignColumnInfo(self.subDocumentList, self.subDocumentDict, self.subDocumentIndexDict)
self.the_simMatrix.assignMatrixData(self.normalizedTargetDocumentMatrix)
self.the_simMatrix.initNewSimMatrix(self.matrixDirectory, "tdSimilarities", self.outputFilename, updateString)
self.the_simMatrix.calculateAllSimilarities(similarityMetric)
self.the_simMatrix.outputSimilarityMatrix()