superduper-sklearn 0.10.0

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

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

API

• Code
• API-docs

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

Examples

Estimator

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

Training Example

Read more about this here