2012/7/12 Gael Varoquaux <[email protected]>:
> I haven't followed too much the codebase (I should have but...). That
> said, I must confess that I am a bit frightened at the number of
> different technologies that are being put together. Enabling ease of
> installation/reproducibility seems to me a priority.
What exactly are the dependencies? It would be nice if they were
listed in the README. Is it just vbench and Sphinx + transitive
closure?
Btw., I notice that the "code" is very repetitive and the modules
contain mostly data (though I haven't read all of them yet). Vlad,
have you considered only storing the _benchmarks value in a file and
reading that? E.g., if you have a file called "cluster.bench"
containing only
[
{
'obj': 'KMeans',
'init_params': {'n_clusters': 9},
'datasets': ('minimadelon', 'blobs'),
'statements': ('fit', 'predict')
},
{
'obj': 'MiniBatchKMeans',
'init_params': {'n_clusters': 9},
'datasets': ('minimadelon', 'madelon'),
'statements': ('fit', 'predict')
}
]
then you can parse that using
ast.literal_eval(open("cluster.bench"))
in a driver script, so you're effectively using PYON, the Python
Object Notation (note to self: must file patent).
[It might be possible to get rid of the [,] too.]
My 2c.
--
Lars Buitinck
Scientific programmer, ILPS
University of Amsterdam
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