def test_use(self): dataset = Dataset.from_sourcefolder("testdataset/") dataset.read_samples() (train,test) = dataset.samples_shuffled.split(0.6) self.assertEquals(len(train), 4) train.load_data() (x,y) = train.to_input_response() self.assertEquals(len(x), 4)
def test_use(self): dataset = Dataset.from_sourcefolder("testdataset/") dataset.read_samples() (train, test) = dataset.samples_shuffled.split(0.6) self.assertEquals(len(train), 4) train.load_data() (x, y) = train.to_input_response() self.assertEquals(len(x), 4)
def load_dataset(): folder = "../tests/data/testdataset/" dataset = Dataset.from_sourcefolder(folder) dataset.read_samples() dataset.samples_shuffled.load_data() return dataset
def test_shuffled(self): dataset = Dataset.from_sourcefolder("testdataset/") dataset.read_samples() nb_samples = len(dataset.samples_shuffled) self.assertEquals(nb_samples, 19)
def test_nb_categories(self): dataset = Dataset.from_sourcefolder("testdataset/") nb_categories = len(dataset.categories) self.assertEquals(nb_categories,3)
def test_nb_categories(self): dataset = Dataset.from_sourcefolder("testdataset/") nb_categories = len(dataset.categories) self.assertEquals(nb_categories, 3)