def getTrainingData(self, inputData, outputData): ''' Verifies the validity of the given input and output data Data should be organized by columns Input: -inputdata, numpy N-D array -outputData, numpy N-D array ''' regression.getTrainingData(self,inputData, outputData)
def getTrainingData(self, inputData, outputData): ''' Verifies the validity of the given input and output data Data should be organized by columns Input: -inputdata, numpy N-D array -outputData, numpy N-D array ''' regression.getTrainingData(self,inputData, outputData) for i in range(self.numberOfSamples): self.ds.addSample(inputData[i],outputData[i])
def getTrainingData(self, inputData, outputData): regression.getTrainingData(self, inputData, outputData) if(self.rs.fromStruct == True): self.initFromExistingStruct(self.rs.path+self.rs.thetaFile+".struct") else: self.initFromData(self.rs.path+self.rs.thetaFile+".struct")