Open sodoherty-ai opened 2 years ago
Removing the .name
allows the code to complete.
Trying to do the next step in the code generates the error: AttributeError: 'tuple' object has no attribute 'remove'
Trace:
LNN/lnn/symbolic/_gm.py:104, in downward_bounds(self, operands, groundings)
101 return None
103 for g in contradicting_groundings:
--> 104 groundings.remove(g)
106 output_bounds = output_bounds[~contradictions]
107 input_bounds = input_bounds[~contradictions]
I got same problems, thanks for suggestions @sodoherty-ai .
After removing .name
in model.add_data
part I got error in model.add_labels
: AttributeError: 'str' object has no attribute 'formula_number'
Removing quotation marks from Smokes
helped (at least did not throw an error), but not sure what I am doing.
Finally I am stuck on this sentence: model.train(losses=Loss.SUPERVISED)
with error: TypeError: list indices must be integers or slices, not Loss
Removing quotation marks from
Smokes
helped (at least did not throw an error), but not sure what I am doing.
Looks like there is some missing exception handling here. The inputs should be Formula objects and not the strings that represent these objects. Smokes
is correct but 'Smokes'
is not (this was an older API that has since been deprecated)
Finally I am stuck on this sentence:
model.train(losses=Loss.SUPERVISED)
with error:TypeError: list indices must be integers or slices, not Loss
Related to #42
Hi michalkordyzon,
Just find out, try to input "Loss.SUPERVISED" in the form of a list like this: model.train(losses=[Loss.SUPERVISED]). It works for me:)
Not as urgent, but a typo in the page https://ibm.github.io/LNN/usage.html
Relates to this: https://ibm.github.io/LNN/usage.html
Step 2b: Sample code has a missing comma
Step 3: Sample code at start generates error:
TypeError: formula expected of type Formula, received str
Trace: