Annotator reference id.
Annotator reference id. Used to identify elements in metadata or to refer to this annotator type
input annotations columns currently used
Gets annotation column name going to generate
Gets annotation column name going to generate
columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified
columns that contain annotations necessary to run this annotator AnnotatorType is used both as input and output columns if not specified
Overrides required annotators column if different than default
Overrides required annotators column if different than default
Overrides annotation column name when transforming
Overrides annotation column name when transforming
requirement for pipeline transformation validation.
requirement for pipeline transformation validation. It is called on fit()
takes a Dataset and checks to see if all the required annotation types are present.
takes a Dataset and checks to see if all the required annotation types are present.
to be validated
True if all the required types are present, else false
Base class for annotators that uses Word Embeddings. This implementation is based on RocksDB so it has a compact RAM usage
1. User configures Word Embeddings by method 'setWordEmbeddingsSource'. 2. During training Word Embeddings are indexed as RockDB index file. 3. Than this index file is spread across the cluster. 4. Every model 'ModelWithWordEmbeddings' uses local RocksDB as Word Embeddings lookup.