R/aggregator.R
h2o.aggregated_frame.Rd
Retrieve an aggregated frame from the Aggregator model and use it to create a new frame.
h2o.aggregated_frame(model)
model | an H2OClusteringModel corresponding from a |
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# 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) # }