I have a case with binary results and 1-D features, like:
X = np.array(-3,-2,-1,0,1,2,3,)
and
y = np.array(0, 0, 0, 1, 1, 1, 1)
only longer arrays (about 180 entries in each array) of this general type.
So this should be the "simplest" case.
Altho I've tried several variations of the Logi
These are not numpy arrays.
Try:
X = np.array([-3,-2,-1,0,1,2,3]).reshape(-1,1)
And
y = np.array([0, 0, 0, 1, 1, 1, 1]).reshape(-1,1)
Makis
On 31 Oct 2020, at 17:51, The Helmbolds via scikit-learn
mailto:[email protected]>> wrote:
I have a case with binary results and 1-D features, l
