On Wednesday, February 24, 2016 at 4:15:49 PM UTC-5, Jeffrey Sarnoff wrote:
>
> This should not be a problem. What is your concern?
>
Loading time/RAM usage. I'm trying to wrap/port scikit-learn, and their
module arrangement makes a lot of sense. In Python, I don't get to load
code for support vector machines unless I actually need them.
import sklearn.svm
I could define separate modules like "sklearn_svm", "sklearn_cluster", but
it's awfully ugly.
> On Wednesday, February 24, 2016 at 3:45:50 PM UTC-5, Cedric St-Jean wrote:
>>
>> In Python, loading a module (i.e. importing a file) does not load
>> sub-modules, eg.:
>>
>> import sklearn
>> import sklearn.linear_model
>>
>> Is there any way to achieve the same thing in Julia?
>>
>> module A
>> println("loaded A")
>>
>> module B
>> println("loaded B")
>> end
>>
>> end
>>
>> Can I have "loaded A" without "loaded B"?
>>
>
