The following example compares a run using analysis summing and graph:
https://github.com/Jammy2211/autolens_workspace_test/blob/main/model_graph/task_3_result.py
You can run it fast by using the export PYAUTOFIT_TEST_MODE=1 environment variable.
This tries to use the result returned by the fit.
For analysis summing, it can be used:
positions_likelihood = source_lp_result[0].positions_likelihood_from(
factor=3.0, minimum_threshold=0.2
)
For graphical models, it raises this error:
Traceback (most recent call last):
File "/mnt/c/Users/Jammy/Code/PyAuto/autolens_workspace_test/model_graph/task_3_result.py", line 300, in <module>
fit()
File "/mnt/c/Users/Jammy/Code/PyAuto/autolens_workspace_test/model_graph/task_3_result.py", line 294, in fit
positions_likelihood = source_lp_result[0].positions_likelihood_from(
File "/mnt/c/Users/Jammy/Code/PyAuto/PyAutoFit/autofit/non_linear/result.py", line 355, in __getitem__
return self.child_results[item]
TypeError: 'NoneType' object is not subscriptable
Again, hopefully an easy fix.
The following example compares a run using analysis summing and graph:
https://github.com/Jammy2211/autolens_workspace_test/blob/main/model_graph/task_3_result.py
You can run it fast by using the export PYAUTOFIT_TEST_MODE=1 environment variable.
This tries to use the
resultreturned by the fit.For analysis summing, it can be used:
For graphical models, it raises this error:
Again, hopefully an easy fix.