Data Science

PR #22722 introduced a common method for the validation of the parameters of an estimator. We now need to use it in all estimators.

Please open one PR per estimator or family of estimators (if one inherits from another). The title of the PR should mention which estimator it's dealing with and the description of the PR should begin with towards #23462.

Steps

• The estimator must define

The Mixed Time-Series chart type allows for configuring the title of the primary and the secondary y-axis.
However, while only the title of the primary axis is shown next to the axis, the title of the secondary one is placed at the upper end of the axis where it gets hidden by bar values and zoom controls.

How to reproduce the bug

1. Create a mixed time-series chart
2. Configure axi

Noticed in pandas-dev/pandas#47828 (comment)

Currently, it's possible to match multiple warnings, by passing them as a tuple. But, this isn't documented, nor do the types suggest it:

Example:

import warnings
import pytest
import pandas._testing as tm

def me():
    warnings.warn('foo', FutureWarning)
    warnings.warn('bar', UserWarning

Hello.
I am trying to integrate ray with an existing web server that made of fastapi and uvicorn.
It uses https, and here's how to run the server.

app = FastAPI()
app.add_middleware(HTTPSRedirectMiddleware)

uvicorn.run("main:app",
            host="0.0.0.0",
            port=8080,
            ssl_keyfile="/home/ky/cert/key.pem",
            ssl_certfile="/home/ky/cert/cert.pem",
 

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

🚀 Feature

Currently, LRSchedulerConfig type is not supported by _configure_schedulers_automatic_opt.

Motivation

I created a custom ReduceLROnPlateau class that adds warmup epochs before ReduceLROnPlateau. However, the ReduceLROnPlateau sched

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

Bug summary

When using Axes.indicate_inset/Axes.indicate_inset_zoom, it may be necessary to increase the size of edges in order to be visible. It is possible to change edge colour with edgecolor=... which affects both the frame and the connectors. However, using linewidth=... only affects the frame.

Code for reproduction

import matplotlib.pyplot as plt

fig, a

• 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