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 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)
def test_shuffled(self):
dataset = Dataset.from_sourcefolder("testdataset/")
dataset.read_samples()
nb_samples = len(dataset.samples_shuffled)
self.assertEquals(nb_samples, 19)
