Data Science

Describe the bug

The acceptable values for max_samples are (0, 1]. One possible option for class_weight is balanced_subsample. However, for values of max_samples near zero and class_weight='balanced_subsample', the model fails with an unhelpful error related to having an empty array as an indexer.

This is only likely to come up in a grid search, as it seems unlikely that some

Time-series Bar Chart v2 does not update total values for stacked bar chart when toggling legends.

How to reproduce the bug

1. Create a "Time-series Bar Chart v2"
2. Go to "Customize" and select "Show value", "Stack series" and "Only total"
3. Toggle series in legends
4. The total value should update but it doesn't

The legacy Time-series Bar Chart does not have this issue.

Summary: read_pickle from Pandas version > 1.25 is unable to load pickles created with pandas version 0.24 and Python 2.7. The documentation claims it is compatible with Pandas versions starting in 0.20, and it does work with pandas version until 1.25 and Python 3.9

The desired behaviour is that it should work the same it did until version 1.2.5, as is it still described in the documentation.

What happened + What you expected to happen

1. Getting a ton of warnings from pytorch-lightning about deprecation of certain hooks.
2. Expect no warnings.
3. The TuneCallback has old hooks such as keyboard_interrupt which have been deprecated.
   The most list of the deprecated hooks

Problem

See #3856 . Developer would like the ability to configure whether the developer menu or viewer menu is displayed while they are developing on cloud IDEs like Gitpod or Github Codespaces

Solution

Create a config option

showDeveloperMenu: true | false | auto

where

• true: always shows the developer menu locally and while deployed
• false: always sho

🚀 Typing coverage

Let's improve typing coverage of PyTorch Lightning together!

I'm creating a new issue in order to increase visibility. There are three older issues (#7037, #5023, #4698) which became stale over time.

Plan

Currently, there are 55 files which are excluded from mypy checks so that our CI does not fail. These files vastly differ in difficulty in order to make the t

Describe your context
Please provide us your environment, so we can easily reproduce the issue.

• replace the result of pip list | grep dash below

dash                      2.0.0
dash-bootstrap-components 1.0.0

• if frontend related, tell us your Browser, Version and OS

  • OS: [e.g. iOS] Windows
  • Browser [e.g. chrome, safari]: Chrome 96.0x, Edge 96.0x, Firefox

I spent some time yesterday and today trying to get tests to run on old versions of Matplotlib which....was harder than I wished it would be. We may want to have one very pinned requirements file (possible managed by one of the auto-bump services 😞 or tools) that we rename to fully-pinned-v3.6.x.txt on branching. We can then use that (exclusively) for tests on the backport branch which should

• Base README.md
• Quizzes
• Introduction base README
  • Defining Data Science README
  • Defining Data Science assignment
  • Ethics README
  • Ethics assignment
  • Defining Data README
  • Defining Data assignment
  • Stats and Probability README
  • Stats and Probability assignment
• Working with Data base README
  • Rel

https://github.com/ipython/ipython/blob/f20e3b80393a1a5909a050cb7bb9cbce9e044827/IPython/core/tests/test_displayhook.py#L31
and also line 44

Did you mean...
overbite,
overrate,
override,
overripe,
overwrite

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

Bug with GPU Model

Currently, while using pruning methods like TaylorFOWeight Pruner, If I use a model on GPU for getting the metrics (as calculated for getting masks), it fails on line while creating masks. The reason why it fails i