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The following commit(s) were added to refs/heads/master by this push: new ac30a3c indicate optional params in DR and RF ac30a3c is described below commit ac30a3c508509a6996f872b0a7505b215c94fd85 Author: Frank McQuillan <fmcquil...@pivotal.io> AuthorDate: Wed Feb 12 17:06:19 2020 -0800 indicate optional params in DR and RF --- .../postgres/modules/recursive_partitioning/decision_tree.sql_in | 6 +++--- .../postgres/modules/recursive_partitioning/random_forest.sql_in | 2 +- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/src/ports/postgres/modules/recursive_partitioning/decision_tree.sql_in b/src/ports/postgres/modules/recursive_partitioning/decision_tree.sql_in index 2408770..04f7b82 100644 --- a/src/ports/postgres/modules/recursive_partitioning/decision_tree.sql_in +++ b/src/ports/postgres/modules/recursive_partitioning/decision_tree.sql_in @@ -537,7 +537,7 @@ tree_predict(tree_model, 'estimated_prob_<em>dep_value</em>', where <em>dep_value</em> represents each value of the response variable.</DD> - <DT>type</DT> + <DT>type (optional)</DT> <DD>TEXT, optional, default: 'response'. For regression trees, the output is always the predicted value of the dependent variable. For classification trees, the <em>type</em> variable can be 'response', giving the @@ -580,10 +580,10 @@ split for a tuple. <DL class="arglist"> <DT>tree_model</DT> <DD>TEXT. Name of the table containing the decision tree model.</DD> - <DT>dot_format</DT> + <DT>dot_format (optional)</DT> <DD>BOOLEAN, default = TRUE. Output can either be in a dot format or a text format. If TRUE, the result is in the dot format, else output is in text format.</DD> - <DT>verbosity</DT> + <DT>verbosity (optional)</DT> <DD>BOOLEAN, default = FALSE. If set to TRUE, the dot format output will contain additional information (impurity, sample size, number of weighted rows for each response variable, classification or prediction if the tree diff --git a/src/ports/postgres/modules/recursive_partitioning/random_forest.sql_in b/src/ports/postgres/modules/recursive_partitioning/random_forest.sql_in index 251dfbc..888388c 100644 --- a/src/ports/postgres/modules/recursive_partitioning/random_forest.sql_in +++ b/src/ports/postgres/modules/recursive_partitioning/random_forest.sql_in @@ -545,7 +545,7 @@ forest_predict(random_forest_model, 'estimated_prob_<em>dep_value</em>', where <em>dep_value</em> represents each value of the response variable.</DD> - <DT>type</DT> + <DT>type (optional)</DT> <DD>TEXT, optional, default: 'response'. For regression trees, the output is always the predicted value of the dependent variable. For classification trees, the <em>type</em> variable can be 'response', giving the