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

Screenshot

Using Superset 1.0.1

Here for dates fields :

Here for some prices

Description

When analysing data in a table, one expects them to be ni

This check is no longer relevant:

https://github.com/pandas-dev/pandas/blob/9ab55b4aed9018b070c939ffbdf232f99bf50f1a/.pre-commit-config.yaml#L83-L88

Since using PEP604 rewrites, this would be written as

x: Series | DataFrame

anyway.

x: FrameOrSeriesUnion

is actually just as long as the above, and arguably less explicit.

@simonjayhawkins thoughts on replacin

Summary

When import streamlit and supervisely_lib together in a project there occurs a TypeError.

Steps to reproduce

Code snippet:

import streamlit as st
import supervisely_lib as sly

If applicable, please provide the steps we should take to reproduce the bug:

1. run the code with streamlit run ...
2. see error/traceback when you open the streamlit page

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

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
**