train_logistic_test.py

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#      http://www.apache.org/licenses/LICENSE-2.0
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import unittest
from pywy.dataquanta import WayangContext
from pywy.platforms.java import JavaPlugin
from pywy.platforms.spark import SparkPlugin

class TestTrainLogisticRegression(unittest.TestCase):

    def test_train_and_predict(self):
        ctx = WayangContext().register({JavaPlugin, SparkPlugin})

        features = ctx.load_collection([[0.0, 1.0], [1.0, 0.0], [1.0, 1.0], [0.0, 0.0]])
        labels = ctx.load_collection([1.0, 1.0, 0.0, 0.0])

        model = features.train_logistic_regression(labels)
        predictions = model.predict(features)

        result = predictions.collect()
        print("Predictions:", result)

        self.assertEqual(len(result), 4)
        for pred in result:
            self.assertIn(pred, [0.0, 1.0])

if __name__ == "__main__":
    unittest.main()