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

Screenshot

attached

Description

1. click one dashboard
2. in the dashboard page, the table on the left part has the name and count attributes. next to the name attribute, the sorting label was placed too far away from its text.

<img width="1402" alt="Screen Shot 2021-01-15 at 2 35 11 AM" src="https://user-images.githubusercontent.com/4502866/104715562-930f1d80-56db-11eb-8cb1-b2

example here: https://github.com/pandas-dev/pandas/pull/37367/files#diff-69c698518ca64a05f8b137ff9bb5445ce9fd21139b396e9b0d4ce7338b2a3984R132

we should just ban this with a precommit style rule (and import things directly). the doc-strings also should be updated to do the import once.

grep -r pd.api.types ~/pandas-dev/pandas
/home/jreback/pandas-dev/pandas/_libs/lib.pyx:    >>> pd.api.

Allow users to provide a meta description. We could add this as an option for st.set_page_config(description="")

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

Test the Column / Text filter

Proposed solution

Add a test for the behavior with

• an exact string, check the number of occurrences
• a partial string, also check the number of occurrences
• Test case sensitive
• Test a regular expression

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

Improve examples such that they are more incremental (in the import etc) without following strictly PEP8. It will make it nicer to read on the gallery generated online.

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