| #!/usr/bin/env python |
| # coding=utf-8 |
| |
| """Trainer engine action. |
| |
| Use this module to add the project main code. |
| """ |
| |
| from .._compatibility import six |
| from .._logging import get_logger |
| from marvin_python_toolbox.engine_base import EngineBaseTraining |
| from sklearn.naive_bayes import MultinomialNB |
| |
| __all__ = ['Trainer'] |
| |
| |
| logger = get_logger('trainer') |
| |
| |
| class Trainer(EngineBaseTraining): |
| |
| def __init__(self, **kwargs): |
| super(Trainer, self).__init__(**kwargs) |
| |
| def execute(self, params, **kwargs): |
| clf = MultinomialNB() |
| clf.fit(self.marvin_dataset['X_train'], self.marvin_dataset['y_train']) |
| |
| self.marvin_model = { |
| "clf": clf, |
| "vect": self.marvin_dataset["vect"] |
| } |
| |
