| Table | Description |
|---|---|
| Input | Contains test data. Has same schema as ML Engine Naive Bayes Classifier input table. |
| Model | Model output by ML Engine Naive Bayes Classifier function. |
Input Table Schema
See Teradata Vantage™ Machine Learning Engine Analytic Function Reference, B700-4003.
Model Schema
For CHARACTER and VARCHAR columns, CHARACTER SET must be either UNICODE or LATIN.
Double quotation marks around some column names are required because the names are either Advanced SQL Engine reserved keywords or are camel-case.
| Column | Data Type | Description |
|---|---|---|
| "class" or class_nb | VARCHAR | Response. |
| "variable" or variable_nb | VARCHAR | Input variable (name of input column). |
| "type" or type_nb | VARCHAR | Input variable types ('NUMERIC' or 'CATEGORICAL'). |
| category | VARCHAR | For categorical predictor, its level. For numeric predictor, NULL. |
| cnt | INTEGER or BIGINT | Count of observations with this class, variable, and category. |
| "sum" or sum_nb | INTEGER or DOUBLE_PRECISION | For numerical predictor, sum of variable values for observations with this class, variable, and category. For categorical predictor, NULL. |
| "sumSq" or sum_sq | INTEGER or DOUBLE_PRECISION | For numerical predictor, sum of square of variable values for observations with this class, variable, and category. For categorical predictor, NULL. |
| "totalCnt" or total_cnt | INTEGER or BIGINT | Total count of observations. |