phages2050.embeddings.nucleotides package¶

Submodules¶

class phages2050.embeddings.nucleotides.word2vec.Word2VecEmbedding(model_pkl_file: str)[source]¶

Bases: object

Word2Vec instance loader class

get_train_params() → Exception[source]¶: TODO: return dict with model train parameters

class phages2050.embeddings.nucleotides.word2vec.Word2VecModelManager(model_dir: str = 'word2vec_model')[source]¶

Bases: object

Manager class is responsible to download and unzip Word2Vec pre-trained model for nucleotides embedding

WORD2VEC_URL = b'https://deeppetri.ai/static/phages2050/word2vec-embedding-21.07.2020.zip'¶

download_model() → pathlib.Path[source]¶

Download Word2Vec pre-trained model and unzip it into directory

This procedure should be executed once and the result loaded by Word2VecEmbedding class instance