Base class for annotators that uses Word Embeddings.
Base class for models that uses Word Embeddings.
Base class for models that uses Word Embeddings. This implementation is based on RocksDB so it has a compact RAM usage
Corresponding Approach have to implement AnnotatorWithWordEmbeddings
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.