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Alex Rivera
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I'm trying to make a simple linear regression function but continue to encounter a numpy.linalg.linalg.LinAlgError: Singular matrix error Existing function (with debug prints): def makeLLS(inputData, targetData): print "In makeLLS:" print " Shape inputData:",inputData.shape print " Shape targetData:",targetData.shape term1 = np.dot(inputData.T, inputData) term2 = np.dot(inputData.T, targetData) print " Shape term1:",term1.shape print " Shape term2:",term2.shape #print term1 #print term2 result = np.linalg.solve(term1, term2) return result The output to the console with my test data is: In makeLLS: Shape trainInput1: (773, 10) Shape trainTargetData: (773, 1) Shape term1: (10, 10) Shape term2: (10, 1) Then it errors on the linalg.solve line. This is a textbook linear regression function and I can't seem to figure out why it's failing. What is the singular matrix error?
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