Reproduce predictions with MOJO file of a H2O GBM model

Question

I used H2O version 3.26.0.5 to train a GBM model in a binary problem, to predict the probability of positive class. I saved the model file as MOJO and used this file to generate predictions in new data:

## first, restart R session ##

# load the model
library(h2o)

h2o.init(nthreads = -1)

model <- h2o.import_mojo("path_to_mojo_file")

# load the new data input
input <- read_csv("path_to_new_data")

input_h2o <- as.h2o(input)

# predictions
predictions <- predict(model, input_h2o)

When I run this in my computer I get different predictions than when I use the same MOJO file to predict in a production environment.

Does this should happen with the MOJO file? I believed that once the model was saved in MOJO format, you could make predictions in any environment and get the same results. Does anyone knows why this is happening?

Hi, this is unexpected. Are you able to provide a reproducible example? — TomKraljevic

Michal Kurka Michal Kurka · Accepted Answer · 2019-12-11T16:05:06

When I run this in my computer I get different predictions than when I use the same MOJO file to predict in a production environment.

Is the production environment running the exact same R script?

Reproduce predictions with MOJO file of a H2O GBM model

2 Answers