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h2o

h2o.download_model

Download the model in binary format. The owner of the file saved is the user by which python session was executed.

Description

Download the model in binary format. The owner of the file saved is the user by which python session was executed.

Usage

h2o.download_model(
  model,
  path = NULL,
  export_cross_validation_predictions = FALSE
)

Arguments

model

An H2OModel
path

The path where binary file should be downloaded. Downloaded to current directory by default.
export_cross_validation_predictions

A boolean flag indicating whether the download model should be saved with CV Holdout Frame predictions. Default is not to export the predictions.

Examples

## Not run: 
library(h2o)
h <- h2o.init()
fr <- as.h2o(iris)
my_model <- h2o.gbm(x = 1:4, y = 5, training_frame = fr)
h2o.download_model(my_model)  # save to the current working directory

## End(Not run)
h2o

R Interface for the 'H2O' Scalable Machine Learning Platform

v3.32.1.2
Apache License (== 2.0)
Authors
Erin LeDell [aut, cre], Navdeep Gill [aut], Spencer Aiello [aut], Anqi Fu [aut], Arno Candel [aut], Cliff Click [aut], Tom Kraljevic [aut], Tomas Nykodym [aut], Patrick Aboyoun [aut], Michal Kurka [aut], Michal Malohlava [aut], Ludi Rehak [ctb], Eric Eckstrand [ctb], Brandon Hill [ctb], Sebastian Vidrio [ctb], Surekha Jadhawani [ctb], Amy Wang [ctb], Raymond Peck [ctb], Wendy Wong [ctb], Jan Gorecki [ctb], Matt Dowle [ctb], Yuan Tang [ctb], Lauren DiPerna [ctb], Tomas Fryda [ctb], H2O.ai [cph, fnd]
Initial release
2021-04-29

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