immuneML.encodings.word2vec.model_creator package
Submodules
immuneML.encodings.word2vec.model_creator.KmerPairModelCreator module
- class immuneML.encodings.word2vec.model_creator.KmerPairModelCreator.KmerPairModelCreator[source]
Bases:
immuneML.encodings.word2vec.model_creator.ModelCreatorStrategy.ModelCreatorStrategy
- create_model(dataset: immuneML.data_model.dataset.RepertoireDataset.RepertoireDataset, k: int, vector_size: int, batch_size: int, model_path: pathlib.Path, sequence_type: immuneML.environment.SequenceType.SequenceType)[source]
immuneML.encodings.word2vec.model_creator.ModelCreatorStrategy module
- class immuneML.encodings.word2vec.model_creator.ModelCreatorStrategy.ModelCreatorStrategy[source]
Bases:
object
Defines how word2vec model can be created by defining different contexts for k-mers
- abstract create_model(dataset: immuneML.data_model.dataset.RepertoireDataset.RepertoireDataset, k: int, vector_size: int, batch_size: int, model_path: pathlib.Path, sequence_type: immuneML.environment.SequenceType.SequenceType)[source]
immuneML.encodings.word2vec.model_creator.ModelType module
immuneML.encodings.word2vec.model_creator.SequenceModelCreator module
- class immuneML.encodings.word2vec.model_creator.SequenceModelCreator.SequenceModelCreator[source]
Bases:
immuneML.encodings.word2vec.model_creator.ModelCreatorStrategy.ModelCreatorStrategy
- create_model(dataset: immuneML.data_model.dataset.RepertoireDataset.RepertoireDataset, k: int, vector_size: int, batch_size: int, model_path: pathlib.Path, sequence_type: immuneML.environment.SequenceType.SequenceType)[source]