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")
