(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.

Describe the issue linked to the documentation

Videos on contributing to scikit-learn reference were created prior to renaming the branch name, and so refer to master, not main

Suggest a potential alternative/fix

In this file, under "Video Resources" section: https://github.com/scikit-learn/scikit-learn/blob/d01014c3198aafa336d9f8ed306f292d68c4a886/doc/developers/contributing.r

I'm trying to implement my custom plugin as a native filter but it looks like the height defined for every native filter is 20px, unlike the correct height when the plugin is defined in the dashboard.

Here's the relevant code:
https://github.com/apache/superset/blob/8ef572a4121ffd2fec6f64d0a053218dbf98308a/superset-frontend/src/dashboard/components/nativeFilters/FilterBar/FilterControls/Fi

@richardliaw could we take in the data path as a command line arg for all these examples that defaults to "~/data"? That way the user can specify their own data paths without having to modify the code.

Originally posted by @amogkam in ray-project/ray#15260 (comment)

%cpaste? claims "IPython statements (magics, shell escapes) are not supported (yet)." But at least magics apparently are!

In recent versions (can't say from exactly when), there seems to be an off-by-one error in dcc.DatePickerRange. I set max_date_allowed = datetime.today().date(), but in the calendar, yesterday is the maximum date allowed. I see it in my apps, and it is also present in the first example on the DatePickerRange documentation page.

E

Summary

When import streamlit and supervisely_lib together in a project there occurs a TypeError.

Steps to reproduce

Code snippet:

import streamlit as st
import supervisely_lib as sly

If applicable, please provide the steps we should take to reproduce the bug:

1. run the code with streamlit run ...
2. see error/traceback when you open the streamlit page

🐛 Bug

This docs snippet does not work:

https://pytorch-lightning.readthedocs.io/en/latest/common/lightning_module.html#datamodule

To Reproduce

def test_bug(tmpdir):
    class TestModel(BoringModel):
        def configure_optimizers(self):
            # works
            len(self.trainer.datamodule.train_dataloader())
            # does not
            len(self.d

Not a high-priority at all, but it'd be more sensible for such a tutorial/testing utility corpus to be implemented elsewhere - maybe under /test/ or some other data- or doc- related module – rather than in gensim.models.word2vec.

Originally posted by @gojomo in RaRe-Technologies/gensim#2939 (comment)

We could utilize https://github.com/googleapis/python-storage to make this robust.

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