Train, test, validation split

Train_test_validation.py

from sklearn.cross_validation import train_test_split

split_frac = 0.8

## split data into training, validation, and test data (features and labels, x and y)
train_x,test_x,train_y,test_y = train_test_split(features, encoded_labels, test_size = 0.2)
test_x,valid_x,test_y,valid_y = train_test_split(test_x,test_y, test_size = 0.5)

## print out the shapes of your resultant feature data
print((train_x.shape), (test_x.shape), (valid_x.shape))