(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

Screenshot

Description

There needs to be some space between the run buttons and the validation error indicator. (You see this indicator when there are frontend validation errors, which can happen when you create a new bar cha

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