Closed rhattersley closed 10 years ago
Compute the mean & standard deviation of the error with a single pass of the data.
>>> error = model - analysis >>> isinstance(error, biggus.Array) True >>> mean_error = biggus.mean(error) >>> std_error = biggus.std(error) >>> mean_error, std_error = biggus.ndarrays([mean_error, std_error])
Done.
Compute the mean & standard deviation of the error with a single pass of the data.