In old v4 models I used MaskedArrays to deal with missing data. Now running the same model on v5.5.0 gave an error saying MaskedArrays are not supported anymore. Is there any explanation of it? /opt/conda/envs/pm5/lib/python3.11/site-packages/numpy/ma/core.py:467: RuntimeWarning: invalid value enco…

They were not properly supported and could result in buggy behavior. You can use ConstantData with nan pass them directly to observed to trigger automatic imputation

Why are MaskedArrays not supported anymore and is there suggested circumvention?

Questions v5

ricardoV94 April 16, 2024, 9:48pm 9

Is the default use of set_data not sufficient?

https://www.pymc.io/projects/docs/en/latest/api/model/generated/pymc.model.core.set_data.html

Topic		Replies	Views
OOS predictions with missing input values Questions	6	4140	November 22, 2018
Logistic Regression w/ Missing Data? Questions	7	2901	September 11, 2017
Disabling missing data imputation Questions	17	2261	October 10, 2023
Automatic imputation and posterior predictive sampling with new data Questions	5	2068	October 29, 2020
Masking missing values of predictors Questions	3	1385	July 10, 2020

Why are MaskedArrays not supported anymore and is there suggested circumvention?

Related topics