h2o.getGrid function

Get a grid object from H2O distributed K/V store.

Get a grid object from H2O distributed K/V store.

Note that if neither cross-validation nor a validation frame is used in the grid search, then the training metrics will display in the "get grid" output. If a validation frame is passed to the grid, and nfolds = 0, then the validation metrics will display. However, if nfolds > 1, then cross-validation metrics will display even if a validation frame is provided.

h2o.getGrid(grid_id, sort_by, decreasing, verbose = FALSE)

Arguments

  • grid_id: ID of existing grid object to fetch
  • sort_by: Sort the models in the grid space by a metric. Choices are "logloss", "residual_deviance", "mse", "auc", "accuracy", "precision", "recall", "f1", etc.
  • decreasing: Specify whether sort order should be decreasing
  • verbose: Controls verbosity of the output, if enabled prints out error messages for failed models (default: FALSE)

Examples

## Not run: library(h2o) library(jsonlite) h2o.init() iris_hf <- as.h2o(iris) h2o.grid("gbm", grid_id = "gbm_grid_id", x = c(1:4), y = 5, training_frame = iris_hf, hyper_params = list(ntrees = c(1, 2, 3))) grid <- h2o.getGrid("gbm_grid_id") # Get grid summary summary(grid) # Fetch grid models model_ids <- grid@model_ids models <- lapply(model_ids, function(id) { h2o.getModel(id)}) ## End(Not run)
  • Maintainer: Tomas Fryda
  • License: Apache License (== 2.0)
  • Last published: 2024-01-11