Version: Main branch

`superduper_sklearn`

superduper allows users to work with arbitrary sklearn estimators, with additional support for pre-, post-processing and input/ output data-types.

Installation

pip install superduper_sklearn

Class	Description
`superduper_sklearn.model.SklearnTrainer`	A trainer for `sklearn` models.
`superduper_sklearn.model.Estimator`	Estimator model.

from superduper_sklearn import Estimator
from sklearn.svm import SVC
model = Estimator(
    identifier='test',
    object=SVC(),
)