Version 1.15
SELECT * FROM NaiveBayesTextClassifierPredict_MLE (
ON { table | view | (query) } AS PredictorValues PARTITION BY doc_id_column
ON model_table AS Model DIMENSION
ON ON { table | view | (query) } AS StopWordsTable DIMENSION
USING
{ InputTextColumn ('text_column') | InputTokenColumn ('token_column') }
[ ModelType ({ 'Multinomial' | 'Bernoulli' }) ]
[ DocIDColumns ({ 'doc_id_column' | doc_id_column_range }[,...]) ]
[ ModelTokenColumn ('model_token_column')
ModelCategoryColumn ('model_category_column')
ModelProbColumn ('model_token_count_column')
]
[ IsTokenized ({'true'|'t'|'yes'|'y'|'1'|'false'|'f'|'no'|'n'|'0'}) ]
[ TopK (num_of_top_k_predictions) ]
[ OutputProb {'true'|'t'|'yes'|'y'|'1'|'false'|'f'|'no'|'n'|'0'} ]
[ Responses ('response' [,...]) ]
[ ConvertToLowerCase ({'true'|'t'|'yes'|'y'|'1'|'false'|'f'|'no'|'n'|'0'}) ]
[ StemTokens ({'true'|'t'|'yes'|'y'|'1'|'false'|'f'|'no'|'n'|'0'}) ]
[ Accumulate ({ 'accumulate_column' | accumulate_column_range }[,...]) ]
) AS alias;