ClassificationModels.MultinomialNaiveBayes Field
Definition
Important
Some information relates to prerelease product that may be substantially modified before it’s released. Microsoft makes no warranties, express or implied, with respect to the information provided here.
The multinomial Naive Bayes classifier is suitable for classification with discrete features (e.g., word counts for text classification). The multinomial distribution normally requires integer feature counts. However, in practice, fractional counts such as tf-idf may also work.
public static Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.ClassificationModels MultinomialNaiveBayes;
staticval mutable MultinomialNaiveBayes : Microsoft.Azure.PowerShell.Cmdlets.MachineLearningServices.Support.ClassificationModels
Public Shared MultinomialNaiveBayes As ClassificationModels