data-analysis

Describe the issue linked to the documentation

The description of cross-validation estimator does not explain whether the final model parameters are estimated on the entire training set, using the optimal hyperparameter obtained through cross-validation.

Screenshot

Description

chart 3 dot menu is behind the chart title panel in chart maximize mode

https://pandas.pydata.org/pandas-docs/dev/reference/api/pandas.DataFrame.align.html?highlight=align#pandas.DataFrame.align

Align has no examples - can one be added?

Summary

date_input widget should throw an exception if value not in (min_value, max_value) range.
An exception should be thrown also in case of range input, when left and right values of a provided interval are less (or great) than min_value or max_value.

Steps to reproduce

Code snippet:

For single value

import datetime as dt
import streamlit as st

x = st.date

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

I would like to import a .zst or .zstd file but currently that file type is not recognized to be imported by OpenRefine.

Proposed solution

Perhaps using Apache Commons Compress (we already have usage in ImportingUtilities.java)
https://commons.apache.org/proper/commons-compress/examples.html#Zstandard

Allow importing the .zstor .zstd file from my local computer, as well as fr

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

Tell us about the problem you're trying to solve

As follow up to airbytehq/airbyte#4721, do proper yaml parsing/extract to be used in https://github.com/airbytehq/airbyte/blob/7decb12818ad2cc0c7b3039c3d5e620236250edd/airbyte-workers/src/main/resources/dbt_transformation_entrypoint.sh#L7

Describe the solution you’d like

we should write (a python?) script that uses