data-analysis

Describe the issue linked to the documentation

The "20 newsgroups text" dataset can be accessed within scikit-learn using defined functions. The dataset contains some text which is considered culturally insensitive.

Suggest a potential alternative/fix

Add a section in the dataset documentation, possibly above the "Recommendation" section called "Data Considerations".
https://

Currently, we use Native filter on Superset version 1.2, but looks like The actual time range does not show correctly with SIP-15 (in the SIP-15 the time range must is [inclusive, exclusive) ). So that mean the actual time range and the tool tip must show label as: from_date <= col < to_date.

Expected results

![image](https://user-images.githubusercontent.com/37523968/130939207-7ff847a

Instead of duplicating these lines

https://github.com/pandas-dev/pandas/blob/e39ea3024cebb4e7a7fd35972a44637de6c41650/.pre-commit-config.yaml#L42-L45

https://github.com/pandas-dev/pandas/blob/e39ea3024cebb4e7a7fd35972a44637de6c41650/.pre-commit-config.yaml#L79-L83

we would use a yaml anchor

See here for an example

We currently print a warning as shown below when a user sets both a widget default value in the function defining the widget as well as a widget value via the widget's key in st.session_state

While we certainly want to do this by default since doing both is not recommended, we should provide a

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

The "Import schema" dialog from the Wikibase extension has two issues:

• the Cancel button does not have a proper label
• importing the schema should close the dialog (currently one has to click the Cancel button afterwards, which is counter-intuitive since we do not want to cancel the import)

To Reproduce

Steps to reproduce the behavior:

1. First, open the dialog
2. See the improper l

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

Describe the issue linked to the documentation

In the section https://imbalanced-learn.org/stable/under_sampling.html#prototype-selection the selected subset S' should be a (strict) subset, not and element of S.

Suggest a potential alternative/fix

Change \in to \subset in doc/under_sampling.rst.

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

Java and Python provide logging frameworks for recording errors and stack traces. Logging can be configured to format those messages, such as by removing newlines from stack traces, adding timestamps, and putting a log level (INFO, WARN, ERROR) on the message. In the future, it may also include json structured logging. Using the logging framew