Should I update apollo_beta and apollo_probabilities manually for Prediction

[Ziyu]

Hi,

I'm new to Apollo and MDCEV.
I have trained an MDCEV model and tried to predict the choice.

I want to load the previous output, the "model" to do the prediction, like the following codes in the example

database = dataset1 # new dataset for prediction
apollo_inputs = apollo_validateInputs()
forecast_base = apollo_prediction(model,
apollo_probabilities,
apollo_inputs)

I noticed that although the estimated parameters are recorded in the model, the apollo_probabilities and the apollo_beta include initial settings for estimation, for example,
1. apollo_probabilities=function(apollo_beta, apollo_inputs, functionality="estimate"). Should I change the functionality to "prediction"?
2. a lot of settings in apollo_probabilities, such as #Define continuous consumption, are set for estimation, should I remove them?
3. the parameters in apollo_beta are the initial parameters before estimation, should I update it manually based on the results in the model?

Thank you so much for your time in advance!

[stephanehess]

Hi

you don't need to do any of those things. In prediction, you should use apollo_prediction, not call apollo_probabilities yourself. Have a look at the manual too where this is explained in detail

Stephane