Version 1.15
SELECT * FROM NaiveBayesPredict_MLE (
ON { table | view | (query) } AS InputTable PARTITION BY ANY
ON { table | view | (query) } AS Model DIMENSION
USING
IDColumn ('test_point_id_col')
[ NumericInputs ({ 'numeric_input_column' | numeric_input_column_range }[,...] ) ]
[ CategoricalInputs ({ 'categorical_input_column' | categorical_input_column_range }[,...] ) ]
[ Responses ('response' [,...]) ]
[ OutputProb ({'true'|'t'|'yes'|'y'|'1'|'false'|'f'|'no'|'n'|'0'}) ]
[ Accumulate ({ 'accumulate_column' | accumulate_column_range }[,...]) ]
) AS alias;