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 |
---|
# 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) # }