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pythonmachine-learningscipylogistic-regression

NumPy log function throws attribute error for int

I am trying to use a log loss function and keep getting the following error- 

   AttributeError: log

the line of code that is throwing this error is - 

ll = sum(act*sp.log(pred) + sp.subtract(1,act)*sp.log(sp.subtract(1,pred)))

where pred is- 

[1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0......1]

and act is- 

[[0     1]
 [1     1]
 [2     1]
 [3     1]
 [4     1]
 [5     1]
 [6     1]
 [7     1]
 [8     1]
 [9     1]
 .
 .
 .
 [n     1]]

Can someone help me with this? Completely driven up the wall.

Solution

  • @WarrenWeckesser's answer helped me-

    "As a work-around, replace pred with pred.astype(int) (or pred.astype(float) if the values are floating point) in your expression for ll"