TD_NaiveBayesTextClassifierTrainer InputTable
doc_id category token
------ -------- -------
1 no_crash vehicl
1 no_crash motor
1 no_crash separ
1 no_crash from
1 no_crash frame
2 crash deploy
2 crash anoth
2 crash end
2 crash vehicl
2 crash 70mph
2 crash airbag
2 crash rear
3 no_crash sunroof
3 no_crash leak
4 crash driver
4 crash sustain
4 crash injuri
TD_NaiveBayesTextClassifierTrainer SQL Call
SELECT * FROM TD_NaiveBayesTextClassifierTrainer (
ON complaints_tokenized AS InputTable
USING
TokenColumn ('token')
DocCategoryColumn ('category')
ModelType ('Multinomial')
) AS dt;
TD_NaiveBayesTextClassifierTrainer Output Table
token category prob
------------------------------------- ----------- -----------
driver crash 0.076923077
vehicl no_crash 0.086956522
leak no_crash 0.086956522
anoth crash 0.076923077
deploy crash 0.076923077
airbag crash 0.076923077
from no_crash 0.086956522
70mph crash 0.076923077
NAIVE_BAYES_PRIOR_PROBABILITY crash 0.588235294
separ no_crash 0.086956522
end crash 0.076923077
sunroof no_crash 0.086956522
injuri crash 0.076923077
NAIVE_BAYES_MISSING_TOKEN_PROBABILITY crash 0.038461538
rear crash 0.076923077
vehicl crash 0.076923077
NAIVE_BAYES_PRIOR_PROBABILITY no_crash 0.411764706
NAIVE_BAYES_MISSING_TOKEN_PROBABILITY no_crash 0.043478261
NAIVE_BAYES_TEXT_MODEL_TYPE MULTINOMIAL 1.000000000
frame no_crash 0.086956522
motor no_crash 0.086956522
sustain crash 0.076923077