Logistic Regression w/ Missing Data?

Masked arrays won’t help here. PyMC3 has support for missing values in observed variables, in this case that would be y. To work with missing values in your predictor X you have to specify the distribution those values. What datatypes do you have in there (continuous or discrete)? Can you post the matrix, or a subset of it?