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https://issues.apache.org/jira/browse/MADLIB-1318?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Nikhil resolved MADLIB-1318.
----------------------------
Resolution: Won't Fix
> 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
> Assignee: Nikhil
> Priority: Major
> Fix For: v1.17
>
>
> 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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