autointent.configs.HashingVectorizerEmbeddingConfig

class autointent.configs.HashingVectorizerEmbeddingConfig(/, **data)

Bases: BaseEmbedderConfig

Configuration for HashingVectorizer based embeddings from sklearn.

This is a lightweight, stateless vectorizer that uses hashing trick for text feature extraction. Ideal for testing as it has no model dependencies and is very fast.

Parameters:

data (Any)

n_features: pydantic.PositiveInt = None

ngram_range: tuple[int, int] = None

analyzer: Literal['word', 'char', 'char_wb'] = None

lowercase: bool = None

norm: Literal['l1', 'l2'] | None = None

binary: bool = None

dtype: str = None