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Split datasets into training/testing/validating...
into Train/Test/Validation with Train having 70% and test and validation...Split datasets into training/testing/validating Edit on GitHub Split...docs.h2o.ai/h2o/latest-stable/h2o-docs/data-munging/splitting-datasets.htmlThu Mar 12 11:43:25 GMT 2026 25.4K bytes -
metalearner_params — H2O 3.46.0.10 docume...
y ]) test [, y ] <- as.factor ( test [, y ]) # Set...train [ y ] . asfactor () test [ y ] = test [ y ] . asfactor () #...docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/metalearner_params.htmlThu Mar 12 11:43:25 GMT 2026 59.9K bytes -
rate — H2O 3.46.0.10 documentation
"train" ) test <- h2o.assign ( test , "test" ) #.../h2o-public-test-data/bigdata/laptop/mnist/test.csv.gz"...docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/rate.htmlThu Mar 12 11:43:26 GMT 2026 6.7K bytes -
rate_decay — H2O 3.46.0.10 documentation
"train" ) test <- h2o.assign ( test , "test" ) #.../h2o-public-test-data/bigdata/laptop/mnist/test.csv.gz"...docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/rate_decay.htmlThu Mar 12 11:43:26 GMT 2026 50.6K bytes -
base_models — H2O 3.46.0.10 documentation
y ]) test [, y ] <- as.factor ( test [, y ]) # Set...train [ y ] . asfactor () test [ y ] = test [ y ] . asfactor () #...docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/base_models.htmlThu Mar 12 11:43:25 GMT 2026 62.5K bytes -
metalearner_transform — H2O 3.46.0.10 doc...
y ]) test [, y ] <- as.factor ( test [, y ]) # Set...train [ y ] . asfactor () test [ y ] = test [ y ] . asfactor () #...docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/metalearner_transform.htmlThu Mar 12 11:43:25 GMT 2026 6.8K bytes -
rate_annealing — H2O 3.46.0.10 documentation
"train" ) test <- h2o.assign ( test , "test" ) #.../h2o-public-test-data/bigdata/laptop/mnist/test.csv.gz"...docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/rate_annealing.htmlThu Mar 12 11:43:26 GMT 2026 6.6K bytes -
Model Explainability — H2O 3.46.0.10 docu...
test ) exm # Explain an AutoML object...exa <- h2o.explain ( aml , test ) exa # Explain a model exm...docs.h2o.ai/h2o/latest-stable/h2o-docs/explain.htmlThu Mar 12 11:43:26 GMT 2026 87.8K bytes -
lre_min — H2O 3.46.0.10 documentation
dataset into train and test datasets train , test = heart . split_frame...the test dataset pred = coxph . predict ( test_data = test ) #...docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/algo-params/lre_min.htmlThu Mar 12 11:43:25 GMT 2026 46.3K bytes -
Target Encoding — H2O 3.46.0.10 documenta...
test )) print ( paste0 ( "GBM AUC TEST: " ,...dataset into train and test train , test = titanic . split_frame...docs.h2o.ai/h2o/latest-stable/h2o-docs/data-science/target-encoding.htmlThu Mar 12 11:43:26 GMT 2026 45.3K bytes