(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.

It appears that the docs for Logistic Regression differ based on solvers and penalties. The "penalty" parameter states that "The ‘newton-cg’, ‘sag’ and ‘lbfgs’ solvers support only l2 penalties," while the "solver" parameter states that "‘newton-cg’, ‘lbfgs’, ‘sag’ and ‘saga’ handle L2 or no penalty" (attaching some screenshots). This was actually a little unclear to me, as I wasn't sure if the n

Is your feature request related to a problem? Please describe.
Currently when users searches metric in Chart Explore Metric dropdown, the search first displays the "ending" string of the metric, even if there is an exact match. For example if you search for san_francisco and your metrics include population_in_san_francisco san_francisco and san_francisco_weather your first result woul

Hi, is there an easy way to get the memory occupied by some object ref?
E.g. ray.sizeof(ray.put(object))

Travis is not going to automatically offer the free tier for all open source projects; We likely want o migrate away from travis.

Setting up github actions to replace travis would be a welcomed contribution.

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

This bug is actually caused by #2989, but I'm filing it separately as fixing #2989 may end up being a few days worth of effort while a small workaround to fix this apparently incorrect behavior (that's just a bandaid until the real issue is fixed) would likely only take a couple hours.

What happens here is that a file calls config.get_option on import, causing config files to be parsed, then wh

🐛 Bug

Please reproduce using the BoringModel

Currently, the progress bar doesn't make distinction between running in a real terminal or being piped to logs.

When Lightning run in logs, it produces a prog_bar line for each change.

<img width="1659" alt="Screenshot 2021-03-23 at 09 10 40" src="https://user-images.git

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)

While setting train_parameters to False very often we also may consider disabling dropout/batchnorm, in other words, to run the pretrained model in eval mode.
We've done a little modification to PretrainedTransformerEmbedder that allows providing whether the token embedder should be forced to eval mode during the training phase.

Do you this feature might be handy? Should I open a PR?

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