h2o.aggregated_frame: Retrieve an aggregated frame from an Aggregator model

In h2o: R Interface for the 'H2O' Scalable Machine Learning Platform

Retrieve an aggregated frame from an Aggregator model

Description

Retrieve an aggregated frame from the Aggregator model and use it to create a new frame.

Usage

h2o.aggregated_frame(model)

Arguments

model

an H2OClusteringModel corresponding from a h2o.aggregator call.

Examples

## Not run: 
library(h2o)
h2o.init()
df <- h2o.createFrame(rows = 100, 
                      cols = 5, 
                      categorical_fraction = 0.6, 
                      integer_fraction = 0,
                      binary_fraction = 0, 
                      real_range = 100, 
                      integer_range = 100, 
                      missing_fraction = 0)
target_num_exemplars = 1000
rel_tol_num_exemplars = 0.5
encoding = "Eigen"
agg <- h2o.aggregator(training_frame = df,
                     target_num_exemplars = target_num_exemplars,
                     rel_tol_num_exemplars = rel_tol_num_exemplars,
                     categorical_encoding = encoding)
# Use the aggregated frame to create a new dataframe
new_df <- h2o.aggregated_frame(agg)

## End(Not run)

h2o documentation built on May 29, 2024, 4:26 a.m.