Vectorizers

Please first read the vectorizers section first.

The set of vectorizers included with this package are listed below:

• EnumContainerFeatureVectorizer: Encode tokens found in the container by aggregating the spaCy vectorizers output.

• CountEnumContainerFeatureVectorizer: Return the count of all tokens as a 1 X M * N tensor where M is the number of token feature ids and N is the columns of the output of the SpacyFeatureVectorizer vectorizer.

• DepthFeatureDocumentVectorizer: Return the depths of tokens based on how deep they are in a head dependency tree.

• StatisticsFeatureDocumentVectorizer: Return basic statics including token and sentence count for FeatureDocument instances.

• OverlappingFeatureDocumentVectorizer: Return the number of normalized and lemmatized tokens across multiple documents.

• MutualFeaturesContainerFeatureVectorizer: Return the shared count of all tokens as a 1 X M * N tensor where M is the number of token feature ids and N is the columns of the output of the the SpacyFeatureVectorizer vectorizer.