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This is a suggestion, not a requirement. Mlxtend has a really nice User Guide, but it took me some time to find it since I saw the shorter examples section first. Is it worth linking to the user guide from the examples section for those who want more information?
The text was updated successfully, but these errors were encountered:
I think it would make most sense to include such a link at the end of the examples section in the docstrings. E.g.,
...
Returns
-------
scores : array of float, shape=(len(list(n_splits)),)
Array of scores of the estimator for each bootstrap
replicate.
Examples
--------
>>> from sklearn import datasets, linear_model
>>> from mlxtend.evaluate import bootstrap_point632_score
...
>>> print('95%% Confidence interval: [%.2f, %.2f]' % (lower, upper))
95% Confidence interval: [0.90, 0.98]
More examples can be found in the user guide at
http://rasbt.github.io/mlxtend/user_guide/evaluate/bootstrap_point632_score/
In addition to having helpful links in the API docs, it will also be useful if people use the help function in Python (or ? in IPython).
However, the ipynb2markdown.py helper script should then remove this text & link from the output so that it doesn't appear on the linked website itself saying "more examples can be found at ...", which could lead to some confusion.
This is a suggestion, not a requirement. Mlxtend has a really nice User Guide, but it took me some time to find it since I saw the shorter examples section first. Is it worth linking to the user guide from the examples section for those who want more information?
The text was updated successfully, but these errors were encountered: