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