(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.

Most functions in scipy.linalg functions (e.g. svd, qr, eig, eigh, pinv, pinv2 ...) have a default kwarg check_finite=True that we typically leave to the default value in scikit-learn.

As we already validate the input data for most estimators in scikit-learn, this check is redundant and can cause significant overhead, especially at predict / transform time. We should probably a

User now can change X AXIS FORMAT in time series charts and see date format on rich tooltip. However, the first date of the month is always missing its full time format in tooltip. (e.g. 1/1/2021 is displayed as Jan 2021) see video

https://user-images.githubusercontent.com/67837651/107318140-ef522c80-6a50-11eb-9447-3ee3be094592.mov

<img width="294" alt="Screen Shot 2021-02-08 at 9 05 58 PM"

What is the problem?

bool ActorManager::AddActorHandle(std::unique_ptr<ActorHandle> actor_handle,
                                  bool is_owner_handle, const TaskID &caller_id,
                                  const std::string &call_site,
                                  const rpc::Addres

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

Summary

When a function has print('sth', file=sys.stderr) in the body I get:

InternalHashError: [Errno 2] No such file or directory: '<stderr>'

While caching the body of eval_models_on_all_data(), Streamlit encountered an object of type _io.TextIOWrapper, which it does not know how to hash.

Steps to reproduce

Code snippet:

@st.cache
def f():
   prin

https://github.com/PyTorchLightning/pytorch-lightning/blob/ae14fca8b7ff0e1637f916a18097cb0557ff4ad2/setup.cfg#L84-L87

Each of these should be removed and format fixed in separate PRs
Context: #5739

Tracker:

• E203
• E231
• W504: Just remove, should not need formatting changes

Contributors are welcome 🤗

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)

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

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

Current pytorch implementation ignores the argument split_f in the function train_batch_ch13 as shown below.

def train_batch_ch13(net, X, y, loss, trainer, devices):
    if isinstance(X, list):
        # Required for BERT Fine-tuning (to be covered later)
        X = [x.to(devices[0]) for x in X]
    else:
        X = X.to(devices[0])
...

Todo: Define the argument `

The expressions editor window includes a Help tab that has some plain-text information about each variable and function.

I am editing this text right now to match the user manual. I'd like the fields to render with links (they currently just have full URLS that users can copy-pa