The TFIDF type exposes the following members.
Gets the number of documents that contain each code word. Each element is associated with a word, and the value of the element gives the number of documents that contain this word.
Gets or sets the inverse document frequency (IDF) definition to be used.
Gets the inverse document frequency vector used to scale term-frequency vectors.
Gets the total number of documents considered by this TF-IDF.
Gets the number of inputs accepted by the model.
Gets the number of outputs generated by the model.
Gets the number of words in this codebook.
Gets or sets the parallelization options for this algorithm.(Inherited from ParallelLearningBase.)
Gets or sets the term frequency (TF) definition to be used.
Gets or sets a cancellation token that can be used to cancel the algorithm while it is running.(Inherited from ParallelLearningBase.)
Gets or sets a value indicating whether new words should be added to the dictionary in the next call to Learn(String, Double).