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

Project description

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

Project details


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