This matrix contains the term weights within the specific categories of this classifier when
method is "cosineSimilarity", "euclideanDistance", "naiveBayes" or "linearRegression".
Rows correspond positionally to the categories in the Categories element and columns to
the terms in the TermDictionary, appended with any MetadataProperty elements.
The meaning of the "weight" value is dependent on the classification method and might
correspond to an actual weight (vector space), a probability (naiveBayes) or coefficient (regression)
The local term weight metric to use to build the Document Vector. The default setting (binary)
means simple 0s and 1s will be used to identify if the term occurred in the document or not.
Some values for method impose restrictions on this property.
This is the method the classifier will use to match the document vector against the different
Categories. Depending on this method, the weights in the CategoryTermWeights vectors will
represent different metrics.