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

Current, in Explore left data panel Columns section, user see
1) actual column name that without a label e.g. job_intr_dataengn(column name, no lable)
or 2) label name of columns e.g. yt_codingtuts360 label(label name of yt_codingtuts360)
from the view.
when user hover on the text, exact same information
change: display actual column name in tooltip, when there's a label
<img wi

If you already have experience contributing, then please leave this issue to newcomers - thanks 👍

In .pre-commit-config.yaml, the check inconsistent-namespace-usage is limited to pandas/tests/frame/. Let's expand it to the rest of pandas/tests/.

The task here is:

0. make sure you're familiar with the [contributing guide](https://pandas.pydata.org/pandas-docs/dev/develop

When you run a Streamlit app, you get a few messages printed on the terminal. In some extreme cases, you'll see these:

We should flip the order of the following CLI messages to:

1. Welcome to Streamlit (...)
2. For bette

Is your feature request related to a problem? Please describe.
When working with a big piece of text, I sometimes scroll down and copy some text into another tab. When switching back to the first tab, both the input and the output pane is back on top. So I don't know where I was working just now.

Describe the solution you'd like
After tab switching, scroll position should be remembere

This is not a high priority issue, but while developin

Collection of follow-ups to #5827. These can/should be broken out into individual PRs. Many are relatively straightforward and would make a good first PR.

General

• Documentation (none was added in original PR).
• Release notes.
• Example notebook.
• Double-check how sm.tsa.arima.ARIMA works with fix_params (it should fail except when the fit method is statespace

See:
gonum/gonum#845 (comment)

The official instructions say to use joblib for pickling PyOD models.

This fails for AutoEncoders, or any other TensorFlow-backed model as far as I can tell. The error is:

>>> dump(model, 'model.joblib')
...
TypeError: can't pickle _thread.RLock objects

Note that it's not sufficient to save the underlying Keras S

** 由于每天都有新股上市，要是能有一个关于每个股票的行业、地域、概念分类相关的接口就好了，类比于tushare中的那些分类接口,参考此处可惜tushare已经不维护了
**

https://igel.readthedocs.io/en/latest/_sources/readme.rst.txt includes a link to the assets/igel-help.gif, but that path is broken on readthedocs.

readme.rst is included as ../readme.rst in the sphinx build.
The gifs are in asses/igel-help.gif

The sphinx build needs to point to the asset directory, absolutely:

.. image:: /assets/igel-help.gif

I haven't made a patch, because I haven't