scikit (sklearn)#
Scikit-learn is a Python package for machine learning, implementing various interfaces for deploying vectorizers.
Dependencies#
No additional depedencies need to be installed to use scikit-learn. It works out of the box!
API#
- class vecworks.vectorizers.scikit.sklearnVectorizer#
Wrapper class to ease use of scikit-learn vectorizers in Vecworks.
Interface#
- __init__(vectorizer: TransformerMixin | Pipeline, fit: Iterable[str] | None = None)#
Initializes the vectorizer.
Parameters#
- vectorizer
Sci-kit learn transformer to be used to vectorize the data.
- fit
Optional, data with which the transformer may be fit.
- transform(input: Any | Iterable[Any]) ndarray | sparray#
Vectorizes the given data.
Also see:
Vectorizer.