Comments (4)
Thanks, I was not aware of the num_dual
library. I can not run the code above with the expected error. What is the type/value of query_points[0]
?
Anyway seems it is not compatible with num_dual! Regarding hessians implementations, I would say we are always open to contributions.
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I can not run the code above with the expected error. What is the type/value of query_points[0]?
Sorry-I introduced a typo in the reproducer while I was trying to pare it down. Fixed now.
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I had to change the code of f
to (try to) make it work (missing ]
, try to use item()
to get a "scalar"):
def f(x):
y = rmtb.predict_values(np.array([[0.0, 1.0]])).item()
print(y, type(y))
return y
When I run it:
> python test_num_dual.py
-3.949565971416e-06 <class 'float'>
Traceback (most recent call last):
File "D:\rlafage\test_num_dual.py", line 52, in <module>
out = num_dual.hessian(f, query_point)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: argument 'f' must return a scalar.
I do not understand this error and I do not get yours, anyway still not ready to use num_dual
😉
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That looks like it may well be a bug in num_dual
. . . you've made a pretty compelling case that f
returns a scalar . . .
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