Error with Sklearn Random Forest Regressor

The shape of X should be [n_samples, n_features], you can transform X by

X = X[:, None]

It is treating your list of samples X as 1 sample as a vector so the following works

rgr = regressor.fit(map(lambda x: [x],X),y)

There might be a more efficient way of doing this in numpy with vstack.