[SciPy-Dev] kde evaluate and dtypes, atleast_float ?

[josef.pktd at gmail.com]

http://projects.scipy.org/scipy/ticket/1181

the dtypes in kde evaluate only makes sense if we have at least float
integer input produces nonsense

evaluate has

points = atleast_2d(points).astype(self.dataset.dtype)
....
result = zeros((m,), points.dtype)
....
result += exp(-energy)

I don't know which dtypes kde is supposed to handle, but what's the
best way to guarantee that the result is "atleast_float", so that a
probability makes sense.
I don't know what a complex probability is, but handling complex is
useful for complex derivatives.

Thanks,

Josef