instancelib.functions.vectorize module

instancelib.functions.vectorize.fit_vectorizer(vectorizer, provider, chunk_size=200)

Parameters:

• vectorizer (BaseVectorizer[Instance[Any, Any, ndarray[Any, dtype[Any]], Any]]) –

• provider (InstanceProvider[Instance[Any, Any, ndarray[Any, dtype[Any]], Any], Any, Any, ndarray[Any, dtype[Any]], Any]) –

• chunk_size (int) –

Return type:

BaseVectorizer[Instance[Any, Any, ndarray[Any, dtype[Any]], Any]]

instancelib.functions.vectorize.vectorize(vectorizer, environment, fit=True, chunk_size=200, fit_instances=None, transform_instances=None, fit_chunk_size=None, transform_chunk_size=None)

Parameters:

• vectorizer (BaseVectorizer[Instance[Any, Any, ndarray[Any, dtype[Any]], Any]]) –

• environment (AbstractEnvironment[Instance[TypeVar(KT), Any, ndarray[Any, dtype[Any]], Any], TypeVar(KT), Any, ndarray[Any, dtype[Any]], Any, Any]) –

• fit (bool) –

• chunk_size (int) –

• fit_instances (Optional[InstanceProvider[Instance[TypeVar(KT), Any, ndarray[Any, dtype[Any]], Any], TypeVar(KT), Any, ndarray[Any, dtype[Any]], Any]]) –

• transform_instances (Optional[InstanceProvider[Instance[TypeVar(KT), Any, ndarray[Any, dtype[Any]], Any], TypeVar(KT), Any, ndarray[Any, dtype[Any]], Any]]) –

• fit_chunk_size (Optional[int]) –

• transform_chunk_size (Optional[int]) –

instancelib.functions.vectorize.vectorize_provider(vectorizer, provider, chunk_size=200)

Parameters:

• vectorizer (BaseVectorizer[Instance[TypeVar(KT), Any, ndarray[Any, dtype[Any]], Any]]) –

• provider (InstanceProvider[Instance[TypeVar(KT), Any, ndarray[Any, dtype[Any]], Any], Any, Any, ndarray[Any, dtype[Any]], Any]) –

• chunk_size (int) –

Return type:

Iterator[Tuple[Sequence[TypeVar(KT)], Sequence[ndarray[Any, dtype[Any]]]]]