In multivariate case this won’t work, currently the missing value feature in pymc3 only handles 1d case. You can have a look at some related discussion here: OOS predictions with missing input values
In multivariate case this won’t work, currently the missing value feature in pymc3 only handles 1d case. You can have a look at some related discussion here: OOS predictions with missing input values