blob: a0c377d0aa7489bc461bf7025a2875fe21f00159 [file] [log] [blame]
#!/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 sklearn.naive_bayes import MultinomialNB
from marvin_python_toolbox.engine_base import EngineBaseTraining
__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"]
}