| row_to_tree_assignment.H2OModel {h2o} | R Documentation |
Output row to tree assignment for the model and provided training data.
Description
Output is frame of size nrow = nrow(original_training_data) and ncol = number_of_trees_in_model+1 in format: row_id tree_1 tree_2 tree_3 0 0 1 1 1 1 1 1 2 1 0 0 3 1 1 0 4 0 1 1 5 1 1 1 6 1 0 0 7 0 1 0 8 0 1 1 9 1 0 0
Usage
row_to_tree_assignment.H2OModel(object, original_training_data, ...)
h2o.row_to_tree_assignment(object, original_training_data, ...)
Arguments
object |
a fitted H2OModel object |
original_training_data |
An H2OFrame object that was used for model training. Currently there is no validation of the input. |
... |
additional arguments to pass on. |
Details
Where 1 in the tree_{number} cols means row is used in the tree and 0 means that row is not used. The structure of the output depends on sample_rate or sample_size parameter setup.
Note: Multinomial classification generate tree for each category, each tree use the same sample of the data.
Value
Returns an H2OFrame contain row to tree assignment for each tree and row.
Examples
## Not run:
library(h2o)
h2o.init()
prostate_path <- system.file("extdata", "prostate.csv", package = "h2o")
prostate <- h2o.uploadFile(path = prostate_path)
prostate_gbm <- h2o.gbm(4:9, "AGE", prostate, sample_rate = 0.6)
# Get row to tree assignment
h2o.row_to_tree_assignment(prostate_gbm, prostate)
## End(Not run)