def test_loadsave(self): x = Classifier(CONFIG) x.train([ LabeledDatum('Y', Datum({'x': 'y'})), LabeledDatum('N', Datum({'x': 'n'})), ]) path = '/tmp/127.0.0.1_0_classifier_hoge.jubatus' def _remove_model(): try: os.remove(path) except Exception: pass _remove_model() try: self.assertEqual( {'127.0.0.1_0': '/tmp/127.0.0.1_0_classifier_hoge.jubatus'}, x.save('hoge')) self.assertTrue(os.path.isfile(path)) x = Classifier(CONFIG) self.assertTrue(x.load('hoge')) y = x.classify([Datum({'x': 'y'}), Datum({'x': 'n'})]) self.assertEqual(['Y', 'N'], [ list(sorted(z, key=lambda x: x.score, reverse=True))[0].label for z in y ]) finally: _remove_model()
def test_loadsave(self): x = Classifier(CONFIG) x.train([ LabeledDatum('Y', Datum({'x': 'y'})), LabeledDatum('N', Datum({'x': 'n'})), ]) path = '/tmp/127.0.0.1_0_classifier_hoge.jubatus' def _remove_model(): try: os.remove(path) except Exception: pass _remove_model() try: self.assertEqual({'127.0.0.1': 0}, x.save('hoge')) self.assertTrue(os.path.isfile(path)) x = Classifier(CONFIG) self.assertTrue(x.load('hoge')) y = x.classify([ Datum({'x': 'y'}), Datum({'x': 'n'}) ]) self.assertEqual(['Y', 'N'], [list(sorted( z, key=lambda x:x.score, reverse=True))[0].label for z in y]) finally: _remove_model()
def test_str(self): x = Classifier(CONFIG) self.assertEqual( 2, x.train([ ('Y', Datum({'x': 'y'})), ('N', Datum({'x': 'n'})), ])) y = x.classify([Datum({'x': 'y'}), Datum({'x': 'n'})]) self.assertEqual(['Y', 'N'], [ list(sorted(z, key=lambda x: x.score, reverse=True))[0].label for z in y ])
def test_types(self): x = Classifier(CONFIG) x.train([ LabeledDatum('Y', Datum({'x': 'y'})), LabeledDatum('N', Datum({'x': 'n'})), ]) y = x.classify([Datum({'x': 'y'}), Datum({'x': 'n'})]) self.assertTrue(isinstance(y[0][0], EstimateResult)) self.assertEqual(['Y', 'N'], [ list(sorted(z, key=lambda x: x.score, reverse=True))[0].label for z in y ])
def test_str(self): x = Classifier(CONFIG) self.assertEqual(2, x.train([ ('Y', Datum({'x': 'y'})), ('N', Datum({'x': 'n'})), ])) y = x.classify([ Datum({'x': 'y'}), Datum({'x': 'n'}) ]) self.assertEqual(['Y', 'N'], [list(sorted( z, key=lambda x:x.score, reverse=True))[0].label for z in y])
def test_types(self): x = Classifier(CONFIG) x.train([ LabeledDatum('Y', Datum({'x': 'y'})), LabeledDatum('N', Datum({'x': 'n'})), ]) y = x.classify([ Datum({'x': 'y'}), Datum({'x': 'n'}) ]) self.assertTrue(isinstance(y[0][0], EstimateResult)) self.assertEqual(['Y', 'N'], [list(sorted( z, key=lambda x:x.score, reverse=True))[0].label for z in y])