I personally use:
labels_train = np.genfromtxt('dataset.txt', delimiter=',', usecols=0,
dtype=str)
data_train = np.genfromtxt('dataset.txt', delimiter=',')[:,1:]
(Y is labels_train, X is data_train)
2013/2/27 David Montgomery <[email protected]>
> Hi,
>
> I have a data structure that looks like this:
>
> 1 NewYork 1 6 high
> 0 LA 3 4 low
> .......
>
> I am trying to predict probability where Y is column one. The all of the
> attributes of the X are categorical and I will use a dtree regression. How
> do I load this data into the y and X?
>
> Thanks
>
>
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