Is it feasible to define the model by utilizing both training and test data when partitioning the data, and subsequently sample posteriors based solely on the training data, followed by running a posterior predictive on the testing data? Alternatively, are we compelled to explicitly retrieve the pos…

You can definitely run the whole mapping over everything, why not? You just then need to split the map into train and test parts, and include data objects for the map in your model. I see a lot of places where the example you posted can be simplified. First, I organized the data into a DataFarme, a…

How can i sample posteriors from training-data, run posterior predictive on testing data (with complex factor graph)

Questions v5

hughlaughter April 13, 2023, 10:35am 5

i love this community… amazing response. 5/5

Topic		Replies	Views
Posterior predictive distributions of parameter values differs a lot from posterior?	18	595	November 23, 2023
Get samples of posterior on new data mapped with set_data	6	272	November 15, 2023
Generating Posterior Predictive Samples Over Forecast Period Questions	13	1267	January 2, 2020
How to predict new values on hold-out data Questions	24	13494	July 22, 2020
PyMC3 posterior prediction example; how to incorporate a matrix of betas? Questions	24	2943	April 23, 2021

How can i sample posteriors from training-data, run posterior predictive on testing data (with complex factor graph)

Related topics