Created by: SaviorD7

Hello. I got a little confused about defining features and labels in input dataset.

For example, I have dataset 100x15. 15 = 14 features + 1 label How I can say in my code ?

I load my file like this: data = np.genfromtxt('FILE.csv', delimiter=',') What next?

I saw many examples like:

x = fluid.data(name='x', shape=[None, 13], dtype='float32') 
y = fluid.data(name='y', shape=[None, 1], dtype='float32') 
y_predict = fluid.layers.fc(input=x, size=1, act=None) 

Okay, I understand that x = features, y = label.

But how I can define this with my dataset? So, I have loaded data. How do I distribute it in X and Y ?