TD_NaiveBayesPredict (
ON { table | view | (query) } AS InputTable
ON { table | view | (query) } AS ModelTable DIMENSION
USING
IDColumn ('id_column')
[ Responses ('response' [,...]) ]
[ OutputProb ({'true'|'t'|'yes'|'y'|'1'|'false'|'f'|'no'|'n'|'0'}) ]
[ Accumulate ({ 'accumulate_column' | 'accumulate_column_range' }[,...]) ]
{ for_dense_input |for_sparse_input }
)
- for_dense_input
[ NumericInputs ({ 'numeric_column' | 'numeric_column_range' }[,...] ) ]
[ CategoricalInputs ({ 'categorical_column' | 'categorical_column_range' }[,...] ) ]
- for_sparse_input
AttributeNameColumn('attribute_name_column')
AttributeValueColumn('attribute_value_column')