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

Is your feature request related to a problem? Please describe.

It seems the CRUD views (Charts and Dashboards) remember search filters in URL, but it does not allow using back and forward buttons to return to previous filters. This causes frustration when I searched something, didn't find I want, then clicked on the browser's "Back" button to return to previous list or to start a new search

There are some methods where boundary inputs are required.

e.g. pandas.Series.between has inclusive as True or False, no, 'left' or 'right'

e.g. pandas.date_range has closed {None, ‘left’, ‘right’}, optional

a proposed new method in Styler.highlight_between has inclusive as True or 'both', False or 'neither', 'left', 'right'.

It would be good to have a full list of boundary inclu

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

To Reproduce

Steps to reproduce the behavior:

1. Switch the language to another language than the default language of OpenRefine (English), e.g. German.
2. Note that the captions for facet selection (most-left c

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