NaiveBayesTextClassifierPredict Syntax Elements - Teradata® Database

InputTokenColumn

Specify the name of the PredictorValues column that contains the tokens.

ModelType

[Optional] Specify the model type of the text classifier.

Default: 'Multinomial'

DocIDColumns

Specify the names of the PredictorValues columns that contain the document identifier.

ModelTokenColumn

[Optional] Specify the name of the Model table column that contains the tokens.

Default: First column of Model table

ModelCategoryColumn

[Optional] Specify the name of the Model table column that contains the prediction categories.

Default: Second column of Model table

ModelProbColumn

[Optional] Specify the name of the Model table column that contains the probability values.

Default: Third column of Model table

TopK

[Disallowed with Responses, otherwise optional.] Specify the number of most likely prediction categories to output with their loglikelihood values (for example, the top 10 most likely prediction categories). To see the probability of each class, use OutputProb ('true').

Default: All prediction categories

Responses

[Disallowed with TopK, otherwise optional.] Specify the labels for which to output loglikelihood values and probabilities (with OutputProb ('true')).

OutputProb

Specify whether to output the calculated probability for each observation.

Default: 'false'

Accumulate

Specify the names of the PredictorValues table columns to copy to the output table.