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​
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