I am doing basic logistic regression using Tensorflow. The input dataset has some missing values. I am currently treating it as np.nan, and matrix multiplication for input vector and weight seems to work. However, the error rate and other indicators seem rather poor. Is there an internal Tensorflow mechanism to eliminate the missing value?
source
share