It appears that the docs for Logistic Regression differ based on solvers and penalties. The "penalty" parameter states that "The ‘newton-cg’, ‘sag’ and ‘lbfgs’ solvers support only l2 penalties," while the "solver" parameter states that "‘newton-cg’, ‘lbfgs’, ‘sag’ and ‘saga’ handle L2 or no penalty" (attaching some screenshots). This was actually a little unclear to me, as I wasn't sure if the n

Currently the tabs on SQL Lab queries show green circle when a query is running as well as when a query has successfully finished.

The green circles for "query running" and "query completed" could be made more distinct - different color, or having the "query running" circle be hollow, and the "query completed" one filled in. This would enable users, who might go to SQL Lab and trigger few quer

This is not exactly right, but we have an inconsitency in the argument specifications of using 'array_like' vs 'array-like', in argument types we should settle on one (prob 'array-like')

(pandas-dev) ~/pandas$ grep -r array-like --include '*.py' pandas|wc
     317    2259   24072
(pandas-dev) ~/pandas$ grep -r array_like --include '*.py' pandas|wc
     104     498    7414

Simila

This bug is actually caused by #2989, but I'm filing it separately as fixing #2989 may end up being a few days worth of effort while a small workaround to fix this apparently incorrect behavior (that's just a bandaid until the real issue is fixed) would likely only take a couple hours.

What happens here is that a file calls config.get_option on import, causing config files to be parsed, then wh

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

Configure a reconciliation service that returns URIs as IDs.

Hovering over reconciliation suggestions, automatically matched values and manually mapped values will fail to retrieve the preview information as ID contained in the callback is truncated.

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

In some figure, the axis name is cropped. We should probably used tight_layout explicitly:

https://imbalanced-learn.org/stable/auto_examples/over-sampling/plot_shrinkage_effect.html#sphx-glr-auto-examples-over-sampling-plot-shrinkage-effect-py

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
**