FEAT: Add `xorbits.sklearn` module

[JiaYaobo]

What do these changes do?

This PR aims to export xorbits._mars.learn to xorbits.sklearn

Sub-packages has been added ...

• [x] cluster
• [x] datasets
• [x] decomposition
• [x] ensemble
• [x] linear_model
• [x] metrics
• [x] model_selection
• [x] neighbors
• [x] preprocessing
• [x] semi_supervised

[codecov[bot]]

Codecov Report

Merging #716 (e333bcd) into main (c15148d) will decrease coverage by 0.05%. The diff coverage is 98.93%.

@@            Coverage Diff             @@
##             main     #716      +/-   ##
==========================================
- Coverage   82.49%   82.45%   -0.05%     
==========================================
  Files        1026     1058      +32     
  Lines       79589    79777     +188     
  Branches    16497    16503       +6     
==========================================
+ Hits        65657    65779     +122     
- Misses      11655    11700      +45     
- Partials     2277     2298      +21     

Flag	Coverage Δ
unittests	82.33% <98.93%> (-0.04%)	:arrow_down:

Flags with carried forward coverage won't be shown. Click here to find out more.

Files	Coverage Δ
python/xorbits/sklearn/__init__.py	100.00% <100.00%> (ø)
python/xorbits/sklearn/cluster/__init__.py	100.00% <100.00%> (ø)
.../xorbits/sklearn/cluster/mars_adapters/__init__.py	100.00% <100.00%> (ø)
...thon/xorbits/sklearn/cluster/mars_adapters/core.py	100.00% <100.00%> (ø)
python/xorbits/sklearn/datasets/__init__.py	100.00% <100.00%> (ø)
...xorbits/sklearn/datasets/mars_adapters/__init__.py	100.00% <100.00%> (ø)
...hon/xorbits/sklearn/datasets/mars_adapters/core.py	100.00% <100.00%> (ø)
python/xorbits/sklearn/decomposition/__init__.py	100.00% <100.00%> (ø)
...ts/sklearn/decomposition/mars_adapters/__init__.py	100.00% <100.00%> (ø)
...orbits/sklearn/decomposition/mars_adapters/core.py	100.00% <100.00%> (ø)
... and 22 more

... and 28 files with indirect coverage changes

[JiaYaobo]

@aresnow1 @ChengjieLi28 PTAL

[aresnow1]

Could you rebase main branch and push again?

[ChengjieLi28]

Hi, @JiaYaobo . On Windows os, there are UT failures in the CI.

On windows, the numpy 1.26.1 is installed, which was released two days ago.

Please check whether your UT is compatiable with numpy 1.26.1.

[JiaYaobo]

Hi, @JiaYaobo . On Windows os, there are UT failures in the CI.

On windows, the numpy 1.26.1 is installed, which was released two days ago.

Please check whether your UT is compatiable with numpy 1.26.1.

numpy 1.26.1 works fine on my macOS, suspecting it's a numpy issue with win32 platform...