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Update case study: probabilistic matrix factorization #152
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Check out this pull request on See visual diffs & provide feedback on Jupyter Notebooks. Powered by ReviewNB |
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It should be arviz-darkgrid
. It is based on seaborn-darkgrid
but the color pallette is colorblind friendly.
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@@ -16,22 +16,34 @@ | |||
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I would use something like:
csv_kwargs = dict(sep="\t", names=["userid", "itemid", "rating", "timestamp"]) try: data = pm.read_csv("../data/ml_100k_u.data", **csv_kwargs) ...
To try and make the cell easier to read and pleasant to the view. Otherwise between the kwargs and black it ends up taking a lot of vertical space without being easier to read.
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yeah you are right, that's a good suggestion. thanks!
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View / edit / reply to this conversation on ReviewNB Sayam753 commented on 2021-09-07T23:19:39Z Line #6. monitor = ("U", "V") This is redundant |
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I think this is okay to be merged @OriolAbril |
All citations use In the section "Data", one code cell defines a There are several instances of There is also a mention to the MovieLens 100k which should include a citation as per it's readme. The convergence sections refers to rhat in math notation which is perfectly fine, but user lowercase r. The usual convention is using uppercase R. |
I still see these |
… personalized recommendations to use numpy.Generator update pd.read_csv to pass arguments as kwargs
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@OriolAbril I think this can be merged now. |
View / edit / reply to this conversation on ReviewNB OriolAbril commented on 2021-10-13T05:14:31Z can you hide the output of the filelock cells below? with the cell tag to toggle things |
Addresses issue #58 and aims to advance it to best practices state.
General Updates
numpy.Generator
moduletry... except
clause to load dataWork in Progress
_norms
function