/ramp/tests/test_shortcuts.py
Python | 43 lines | 34 code | 9 blank | 0 comment | 2 complexity | b1756a10711b78108b1d4ea36a6ea406 MD5 | raw file
- import os
- import sys
- sys.path.append('../..')
- import unittest
- import numpy as np
- import pandas as pd
- from pandas import DataFrame, Series, Index
- from pandas.util.testing import assert_almost_equal
- from sklearn import linear_model
- from ramp.estimators.base import Probabilities
- from ramp.features.base import F, Map
- from ramp.features.trained import Predictions
- from ramp.model_definition import ModelDefinition
- from ramp.shortcuts import cross_validate, cv_factory
- from ramp.tests.test_features import make_data
- class TestShortcuts(unittest.TestCase):
- def setUp(self):
- self.data = make_data(10)
- def test_cross_validate(self):
- results, reporters = cross_validate(self.data, folds=3,
- features = [F(10), F('a')],
- target = F('b'),
- estimator = linear_model.LinearRegression())
- self.assertEqual(len(results), 3)
- def test_cross_validate_factory(self):
- outcomes = cv_factory(self.data,
- folds=3,
- features=[[F(10), F('a')]],
- target=[F('b'), F('a')],
- estimator=[linear_model.LinearRegression()])
- for i in outcomes:
- self.assertEqual(len(outcomes[i]['results']), 3)
- if __name__ == '__main__':
- unittest.main()