from ml.datasets import Dataset
from ml.knn import KNN
TRAINING_DATA = Dataset()
GROUND_TRUTH_DATA = Dataset(['../data/test/iris_test_1.csv',
    '../data/test/iris_test_2.csv'], 'index')
ML = KNN(n_neighbors=3)

e5561318fceca8906bdb06c925a2dda7e627a553
<mask token>

<mask token>
TRAINING_DATA = Dataset()
GROUND_TRUTH_DATA = Dataset(['../data/test/iris_test_1.csv',
    '../data/test/iris_test_2.csv'], 'index')
ML = KNN(n_neighbors=3)

from ml.datasets import Dataset
from ml.knn import KNN
TRAINING_DATA = Dataset()
GROUND_TRUTH_DATA = Dataset(['../data/test/iris_test_1.csv',
    '../data/test/iris_test_2.csv'], 'index')
ML = KNN(n_neighbors=3)
