CODEWITHSUNDEEP
rmachine-learningpredictionh2ogbm
jessicalfr
jessicalfr

Reputation: 79

Reproduce predictions with MOJO file of a H2O GBM model

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?

Upvotes: 0

Views: 358

Answers (2)

jessicalfr
jessicalfr

Reputation: 79

In the end I found out there was an error in the script for the production environment. After it was fixed, the predictions became pretty close.

Upvotes: 0

Michal Kurka
Michal Kurka

Reputation: 566

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?

Upvotes: 0

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