Frank McQuillan created MADLIB-1318:
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Summary: DT error when tree depth increases past a certain limit
Key: MADLIB-1318
URL: https://issues.apache.org/jira/browse/MADLIB-1318
Project: Apache MADlib
Issue Type: Bug
Components: Module: Decision Tree
Reporter: Frank McQuillan
Fix For: v1.16
drop table if exists out1;
drop table if exists out1_summary;
select madlib.tree_train(
'training_data', -- training data table
'out1', -- model output table
'id', -- id column
'response', -- dependent var
'...', -- list of features
NULL::text, -- features to exclude
'gini', -- split criteria
NULL::text, -- grouping
NULL::text, -- weights
20, -- max depth of tree
3, -- min split
1, -- num bucket
100, -- num splits
'cp=0.000001', -- pruning parameters
'max_surrogates=5' -- by default, this is 0, all rows containing any NULL
predictor values will not be used in modeling or prediction
);
{code}
ERROR: plpy.Error: unrecognized error in PLy_spi_execute_fetch_result
(plpython.c:5038)
CONTEXT: Traceback (most recent call last):
PL/Python function "tree_train", line 25, in <module>
null_handling_params, verbose_mode)
PL/Python function "tree_train", line 529, in tree_train
PL/Python function "tree_train", line 296, in _get_tree_states
PL/Python function "tree_train", line 2293, in _tree_train_using_bins
PL/Python function "tree_train", line 1226, in _one_step
PL/Python function "tree_train"
{code}
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