(e.g. for links and images), because some of these examples are now being rendered in the docs.

Added by @fchollet in requests for contributions.

The fit_transform docstrings of the VotingClassifier and VotingRegressor are inherited from the TransformerMixin:

Fit to data, then transform it.

Fits transformer to X and y with optional parameters fit_params and returns a transformed version of X.

They don't really apply here and we should use the docstring from transform to explain what is returned:

Return c

At some point we moved from using mocha as a test runner to using jest, and jest out of the box started reporting much more warnings than mocha did.

No one went to clean up this output. In many cases it may just be about passing an extra prop in a component or setting a proper default value for a component's prop, or adding up to an existing fixture.

[optional] please roll out in chu

To guide users towards doing things right, could we suggest they use the magics instead of the shell invocations? Possibly with a short explanation why. Was also mentioned in ipython/ipython#11524 (comment).

Issue #3644 describes the reasons why this warning was created. However, I get this warning even with as little as 17 actors:

According to ulimit -n I can safely run many more procs.

Potential solutions:

• Allow to specify number of acceptable actors before warning

The usage example in the word2vec.py doc-comment regarding KeyedVectors uses inconsistent paths and thus doesn't work.

https://github.com/RaRe-Technologies/gensim/blob/e859c11f6f57bf3c883a718a9ab7067ac0c2d4cf/gensim/models/word2vec.py#L73

https://github.com/RaRe-Technologies/gensim/blob/e859c11f6f57bf3c883a718a9ab7067ac0c2d4cf/gensim/models/word2vec.py#L76

If vectors were saved to a tm

• Numbers should be right-justified, everything else left-justified.
• Column headers should be justified with their contents.

more details at: allenai/allennlp#2264 (comment)

None of the text on the About page is internationalized so that it can be translated into languages other than English.

The individual HTML elements should be given unique ids which can be used with the $.i18n() calls to set the text for the element based on the user's current language. The license text and copyright statement should *not be translated.

These elements should be translate

The type annotations of num_sanity_val_steps: and limit_val_batches are int and Union[int, float] for percent or num_batches. The minimum of percent and num_batches will be percent. (except when num_batches==0)
https://github.com/PyTorchLightning/pytorch-lightning/blob/a59e140ee814d8818d121405582133cf6b767e1a/pytorch_lightning/trainer/trainer.py#L461

Maybe we can remove

I'm using mxnet to do some work, but there is nothing when I search the mxnet trial and example.