The hyperparameters of a model are set in many ways in cortex:
1) default arguments in build, routine, visualize, etc
2) through a defaults static attribute for a model
3) through the command line.
All of these need to be tested. Notably, we need to make sure that:
the defaults for the build, routine, visualize, etc are the default and these show up in the command line.
the above can be overridden by the defaults static attribute.
The command line can override the above
Nested arguments (within dicts) are updated corrected. In other words, if a default argument looks like this:
classifier_args = dict(batch_size=False)
Updating this argument with classifier_args=dict(dim_h=100) yields
classifier_args = dict(batch_size=False, dim_h=100)
So far everything looks like it's working, but it needs to be tested.
The hyperparameters of a model are set in many ways in cortex:
1) default arguments in build, routine, visualize, etc 2) through a defaults static attribute for a model 3) through the command line.
All of these need to be tested. Notably, we need to make sure that:
the defaults for the build, routine, visualize, etc are the default and these show up in the command line. the above can be overridden by the defaults static attribute. The command line can override the above Nested arguments (within dicts) are updated corrected. In other words, if a default argument looks like this:
classifier_args = dict(batch_size=False)Updating this argument with
classifier_args=dict(dim_h=100)yieldsclassifier_args = dict(batch_size=False, dim_h=100)So far everything looks like it's working, but it needs to be tested.