Data Science

I just discover that we have a helper function to validate scalar:
https://scikit-learn.org/stable/modules/generated/sklearn.utils.check_scalar.html

Since this helper could help to get consistent error types and messages, I was wondering if we could make a long-running issue to introduce this helper everywhere possible.

I think this could be a good issue for first contributors and short spr

1. I'm not sure where else in the product is using these unicorns, the purpose of these icons seem unclear to me. and they are not even centered. 🤦🏾‍♀️

https://user-images.githubusercontent.com/67837651/130163663-ae995c1f-1454-49eb-8a33-2db5bc6cdbed.mov

we could consider go straight to implement new design in sip 34, or simply center the icon for now. low priority.

In the homepage table of lessons, we link only to the Python lessons. But now that we are starting to really ramp up with R via @R-icntay and others, we should showcase those too! We are linking to them in the lessons themselves but let's consider adding a column in the home page for R, and add the author credit to the 'author' column.

Apache Arrow has a first-class tabular file format, Feather, that the Ray Datasets IO layer should support. Combined with Ray Datasets' existing .from_arrow() and .to_arrow() APIs, this would round out our "all-Arrow" experience, which should be as nice as possible given our "distributed Arrow dataset" positioning.

Implementation Note

We currently print a warning as shown below when a user sets both a widget default value in the function defining the widget as well as a widget value via the widget's key in st.session_state

While we certainly want to do this by default since doing both is not recommended, we should provide a

📚 Documentation

There are a few undocumented public properties in the logger wrappers.
Example:
https://github.com/PyTorchLightning/pytorch-lightning/blob/92e49795e1e044ee7f1ca450babf0c50c1b5d81f/pytorch_lightning/loggers/mlflow.py#L174

Let's document these so they show up in our HTML docs and so users can discover them.

**This is a good issue for new contributors!! If you are int

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

The docs for IPython.core.interactiveshell.InteractiveShell.set_custom_exc have horribly mangled a warning message into a list of arguments. I can't work out at a glance why this is happening; it might be a sphinx.ext.napoleon bug, or a sphi

Bug summary

I am using contourf to plot filled in contours, but some of the contours are not being filled in despite how values exist for those regions. I am including an example. The code behind the generation of R_mesh, Z_mesh, and total_mesh has been exempted for simplicity, but the problem remains the same.

Code for reproduction

R_mesh = [231.86725132, 220

In gensim/models/fasttext.py:

    model = FastText(
        vector_size=m.dim,
        vector_size=m.dim,
        window=m.ws,
        window=m.ws,
        epochs=m.epoch,
        epochs=m.epoch,
        negative=m.neg,
        negative=m.neg,
        # FIXME: these next 2 lines read in unsupported FB FT modes (loss=3 softmax or loss=4 onevsall,
        # or model=3 supervi

Is your feature request related to a problem? Please describe.
I want to evaluate multiple datasets (same formatting, they can share the same dataset reader). The "evaluate" command takes much longer to load the model than to evaluate.

Describe the solution you'd like
support passing multiple input files and output files to the "evaluate" command

**Describe alternatives you've cons