<reponame>midhunexeter/sklearn-porter<filename>tests/estimator/classifier/RandomForestClassifier/RandomForestClassifierCTest.py
# -*- coding: utf-8 -*-

from unittest import TestCase

from sklearn.ensemble import RandomForestClassifier

from tests.estimator.classifier.Classifier import Classifier
from tests.language.C import C


class RandomForestClassifierCTest(C, Classifier, TestCase):

    def setUp(self):
        super(RandomForestClassifierCTest, self).setUp()
        self.estimator = RandomForestClassifier(n_estimators=100,
                                                random_state=0)

    def tearDown(self):
        super(RandomForestClassifierCTest, self).tearDown()

# -*- coding: utf-8 -*-

from unittest import TestCase

from sklearn.ensemble import RandomForestClassifier

from tests.estimator.classifier.Classifier import Classifier
from tests.language.C import C


class RandomForestClassifierCTest(C, Classifier, TestCase):

    def setUp(self):
        super(RandomForestClassifierCTest, self).setUp()
        self.estimator = RandomForestClassifier(n_estimators=100,
                                                random_state=0)

    def tearDown(self):
        super(RandomForestClassifierCTest, self).tearDown()
# -*- coding: utf-8 -*-