'squared' is deprecated error while running evaluate_causal_model

[newbietogitdotcom]

Thank you for creating this awesome library!. I got a question

Here is my code

from dowhy import gcm

Create the structural causal model object

scm = gcm.StructuralCausalModel(causal_graph)

Automatically assign generative models to each node based on the given data

auto_assignment_summary = gcm.auto.assign_causal_mechanisms(scm, df13)

print(auto_assignment_summary)

Fit causal models to data

#learn the parameters of the model
gcm.fit(scm, df13)

print(gcm.evaluate_causal_model(scm, df13, compare_mechanism_baselines=True, evaluate_invertibility_assumptions=False))

While the code runs fine, during its progress i get below error

"/Library/Frameworks/Python.framework/Versions/3.10/lib/python3.10/site-packages/sklearn/metrics/_regression.py:483: FutureWarning: 'squared' is deprecated in version 1.4 and will be removed in 1.6. To calculate the root mean squared error, use the function'root_mean_squared_error'.
warnings.warn("

How do i avoid this error ?

[bloebp]

Hey, it seems this is a warning, not an error, i.e., you can ignore it for now. Nevertheless, it is something we need to change. I will put it on the backlog. Thanks a lot for flagging!

[newbietogitdotcom]

Okay great, thank you!

[bloebp]

Just following-up on this, this actually seems to be coming from scikit-learn not from DoWhy. You might just need to update scikit learn.

[mbeale]

I'm getting an error on this now @bloebp .

"""
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/joblib/externals/loky/process_executor.py", line 463, in _process_worker
r = call_item()
File "/usr/local/lib/python3.10/dist-packages/joblib/externals/loky/process_executor.py", line 291, in call
return self.fn(*self.args, **self.kwargs)
File "/usr/local/lib/python3.10/dist-packages/joblib/parallel.py", line 598, in call
return [func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/joblib/parallel.py", line 598, in
return [func(*args, **kwargs)
File "/usr/local/lib/python3.10/dist-packages/dowhy/gcm/model_evaluation.py", line 467, in evaluate_node
metric_evaluations["NMSE"].append(nmse(node_data[test_indices], conditional_expectations))
File "/usr/local/lib/python3.10/dist-packages/dowhy/gcm/model_evaluation.py", line 683, in nmse
return mean_squared_error(y_true, y_pred, squared=squared) / (np.var(y_true) if squared else y_std)
File "/usr/local/lib/python3.10/dist-packages/sklearn/utils/_param_validation.py", line 194, in wrapper
params = func_sig.bind(*args, **kwargs)
File "/usr/lib/python3.10/inspect.py", line 3186, in bind
return self._bind(args, kwargs)
File "/usr/lib/python3.10/inspect.py", line 3175, in _bind
raise TypeError(
TypeError: got an unexpected keyword argument 'squared'
"""

The above exception was the direct cause of the following exception:

TypeError Traceback (most recent call last)
in <cell line: 3>()
15
16 gcm.fit(causal_model, data)
---> 17 summary_evaluation = gcm.evaluate_causal_model(causal_model, data, compare_mechanism_baselines=True)
18 print(summary_evaluation)

7 frames
/usr/local/lib/python3.10/dist-packages/joblib/parallel.py in _return_or_raise(self)
761 try:
762 if self.status == TASK_ERROR:
--> 763 raise self._result
764 return self._result
765 finally:

TypeError: got an unexpected keyword argument 'squared'

sklearn is version 1.6.0. I guess I have to go to <= 1.4 to get this to work

[bloebp]

Hey, thanks a lot! I will take a look.