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TFIDF Properties |
The TFIDF type exposes the following members.
Properties| Name | Description | |
|---|---|---|
 | Counts |
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.
|
| Idf |
Gets or sets the inverse document frequency (IDF) definition to be used.
|
| InverseDocumentFrequency |
Gets the inverse document frequency vector used to scale term-frequency vectors.
|
| NumberOfDocuments |
Gets the total number of documents considered by this TF-IDF.
|
| NumberOfInputs |
Gets the number of inputs accepted by the model.
|
| NumberOfOutputs |
Gets the number of outputs generated by the model.
|
| NumberOfWords |
Gets the number of words in this codebook.
|
| ParallelOptions |
Gets or sets the parallelization options for this algorithm.
(Inherited from ParallelLearningBase.) |
| Tf |
Gets or sets the term frequency (TF) definition to be used.
|
| Token |
Gets or sets a cancellation token that can be used
to cancel the algorithm while it is running.
(Inherited from ParallelLearningBase.) |
| UpdateDictionary |
Gets or sets a value indicating whether new words should be added to the
dictionary in the next call to Learn(String, Double).
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See Also