Top2vec

Numpy related bug fix and document id validation performance upgrade.

Addressed 90, 125, 126

Added custom umap and hdbscan arg option. Fixed issue with loading model with custom tokenizer.

Added `use_embedding_model_tokenizer` parameter. If set to `True` and if using an `embedding_model` other than `doc2vec`, use the model's tokenizer for document embedding.

Fixed dependency issue with joblib.

Fixed issues with wordclouds caused by negative similarity scores.

Fixed bug 91

Added option for indexing word vectors, this will speed up search for models with large vocabularies. Specifically `search_words_by_vector` and `similar_words`.

Added new method `search_words_by_vector`.

Added option for indexing document vectors, this will speed up search for models with large number of documents. Specifically `search_documents_by_vector`, `search_documents_by_keywords`, and `search_documents_by_documents`.

Added new method `search_documents_by_vector`.

Added code to prevent hierarchical topic reduction error 79.