This is a k-means variation that produces clusters of the same size utilizing the scikit-learn Kmeans methods and associated utilities.
The same-size k-Means logic is the same as found in the Elki Same-size k-Means Variation tutorial.
https://elki-project.github.io/tutorial/same-size_k_means
Please note that this implementation only works in scikit-learn 17.X as later versions having breaking changes to this implementation. Also sparse matrices are not yet supported.
Use just like you would utilize the scikit-learn Kmeans class
from clustering.equal_groups import EqualGroupsKMeans
import numpy as np
X = np.array([[1, 2], [1, 4], [1, 0], [4, 2], [4, 4], [4, 0]])
clf = EqualGroupsKMeans(n_clusters=2)
clf.fit(X)
clf.labels_
The performance of this implementation is very slow. It is relatively quick if the number observations is less than 500.
Optimizations are readily accepted via pull-requests.
Bumps nbconvert from 5.3.1 to 6.5.1.
Sourced from nbconvert's releases.
Release 6.5.1
No release notes provided.
6.5.0
What's Changed
- Drop dependency on testpath. by
@anntzer
in jupyter/nbconvert#1723- Adopt pre-commit by
@blink1073
in jupyter/nbconvert#1744- Add pytest settings and handle warnings by
@blink1073
in jupyter/nbconvert#1745- Apply Autoformatters by
@blink1073
in jupyter/nbconvert#1746- Add git-blame-ignore-revs by
@blink1073
in jupyter/nbconvert#1748- Update flake8 config by
@blink1073
in jupyter/nbconvert#1749- support bleach 5, add packaging and tinycss2 dependencies by
@bollwyvl
in jupyter/nbconvert#1755- [pre-commit.ci] pre-commit autoupdate by
@pre-commit-ci
in jupyter/nbconvert#1752- update cli example by
@leahecole
in jupyter/nbconvert#1753- Clean up pre-commit by
@blink1073
in jupyter/nbconvert#1757- Clean up workflows by
@blink1073
in jupyter/nbconvert#1750New Contributors
@pre-commit-ci
made their first contribution in jupyter/nbconvert#1752Full Changelog: https://github.com/jupyter/nbconvert/compare/6.4.5...6.5
6.4.3
What's Changed
- Add section to
customizing
showing how to use template inheritance by@stefanv
in jupyter/nbconvert#1719- Remove ipython genutils by
@rgs258
in jupyter/nbconvert#1727- Update changelog for 6.4.3 by
@blink1073
in jupyter/nbconvert#1728New Contributors
@stefanv
made their first contribution in jupyter/nbconvert#1719@rgs258
made their first contribution in jupyter/nbconvert#1727Full Changelog: https://github.com/jupyter/nbconvert/compare/6.4.2...6.4.3
6.4.0
What's Changed
- Optionally speed up validation by
@gwincr11
in jupyter/nbconvert#1672- Adding missing div compared to JupyterLab DOM structure by
@SylvainCorlay
in jupyter/nbconvert#1678- Allow passing extra args to code highlighter by
@yuvipanda
in jupyter/nbconvert#1683- Prevent page breaks in outputs when printing by
@SylvainCorlay
in jupyter/nbconvert#1679- Add collapsers to template by
@SylvainCorlay
in jupyter/nbconvert#1689- Fix recent pandoc latex tables by adding calc and array (#1536, #1566) by
@cgevans
in jupyter/nbconvert#1686- Add an invalid notebook error by
@gwincr11
in jupyter/nbconvert#1675- Fix typos in execute.py by
@TylerAnderson22
in jupyter/nbconvert#1692- Modernize latex greek math handling (partially fixes #1673) by
@cgevans
in jupyter/nbconvert#1687- Fix use of deprecated API and update test matrix by
@blink1073
in jupyter/nbconvert#1696- Update nbconvert_library.ipynb by
@letterphile
in jupyter/nbconvert#1695- Changelog for 6.4 by
@blink1073
in jupyter/nbconvert#1697New Contributors
... (truncated)
7471b75
Release 6.5.1c1943e0
Fix pre-commit8685e93
Fix tests0abf290
Run black and prettier418d545
Run test on 6.x branchbef65d7
Convert input to string prior to escape HTML0818628
Check input type before escapingb206470
GHSL-2021-1017, GHSL-2021-1020, GHSL-2021-1021a03cbb8
GHSL-2021-1026, GHSL-2021-102548fe71e
GHSL-2021-1024Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase
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Bumps mistune from 0.8.1 to 2.0.3.
Sourced from mistune's releases.
Version 2.0.2
Fix
escape_url
via lepture/mistune#295Version 2.0.1
Fix XSS for image link syntax.
Version 2.0.0
First release of Mistune v2.
Version 2.0.0 RC1
In this release, we have a Security Fix for harmful links.
Version 2.0.0 Alpha 1
This is the first release of v2. An alpha version for users to have a preview of the new mistune.
Version 0.8.4
Sourced from mistune's changelog.
Changelog
Here is the full history of mistune v2.
Version 2.0.4
Released on Jul 15, 2022
- Fix
url
plugin in<a>
tag- Fix
*
formattingVersion 2.0.3
Released on Jun 27, 2022
- Fix
table
plugin- Security fix for CVE-2022-34749
Version 2.0.2
Released on Jan 14, 2022
Fix
escape_url
Version 2.0.1
Released on Dec 30, 2021
XSS fix for image link syntax.
Version 2.0.0
Released on Dec 5, 2021
This is the first non-alpha release of mistune v2.
Version 2.0.0rc1
Released on Feb 16, 2021
Version 2.0.0a6
</tr></table>
... (truncated)
3f422f1
Version bump 2.0.3a6d4321
Fix asteris emphasis regex CVE-2022-347495638e46
Merge pull request #307 from jieter/patch-10eba471
Fix typo in guide.rst61e9337
Fix table plugin76dec68
Add documentation for renderer heading when TOC enabled799cd11
Version bump 2.0.2babb0cf
Merge pull request #295 from dairiki/bug.escape_urlfc2cd53
Make mistune.util.escape_url less aggressive3e8d352
Version bump 2.0.1Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase
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Bumps numpy from 1.13.1 to 1.22.0.
Sourced from numpy's releases.
v1.22.0
NumPy 1.22.0 Release Notes
NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:
- Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
- A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
- NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
- New methods for
quantile
,percentile
, and related functions. The new methods provide a complete set of the methods commonly found in the literature.- A new configurable allocator for use by downstream projects.
These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.
The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.
Expired deprecations
Deprecated numeric style dtype strings have been removed
Using the strings
"Bytes0"
,"Datetime64"
,"Str0"
,"Uint32"
, and"Uint64"
as a dtype will now raise aTypeError
.(gh-19539)
Expired deprecations for
loads
,ndfromtxt
, andmafromtxt
in npyio
numpy.loads
was deprecated in v1.15, with the recommendation that users usepickle.loads
instead.ndfromtxt
andmafromtxt
were both deprecated in v1.17 - users should usenumpy.genfromtxt
instead with the appropriate value for theusemask
parameter.(gh-19615)
... (truncated)
4adc87d
Merge pull request #20685 from charris/prepare-for-1.22.0-releasefd66547
REL: Prepare for the NumPy 1.22.0 release.125304b
wipc283859
Merge pull request #20682 from charris/backport-204165399c03
Merge pull request #20681 from charris/backport-20954f9c45f8
Merge pull request #20680 from charris/backport-20663794b36f
Update armccompiler.pyd93b14e
Update test_public_api.py7662c07
Update init.py311ab52
Update armccompiler.pyDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase
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Bumps numpy from 1.13.1 to 1.22.0.
Sourced from numpy's releases.
v1.22.0
NumPy 1.22.0 Release Notes
NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:
- Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
- A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
- NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
- New methods for
quantile
,percentile
, and related functions. The new methods provide a complete set of the methods commonly found in the literature.- A new configurable allocator for use by downstream projects.
These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.
The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.
Expired deprecations
Deprecated numeric style dtype strings have been removed
Using the strings
"Bytes0"
,"Datetime64"
,"Str0"
,"Uint32"
, and"Uint64"
as a dtype will now raise aTypeError
.(gh-19539)
Expired deprecations for
loads
,ndfromtxt
, andmafromtxt
in npyio
numpy.loads
was deprecated in v1.15, with the recommendation that users usepickle.loads
instead.ndfromtxt
andmafromtxt
were both deprecated in v1.17 - users should usenumpy.genfromtxt
instead with the appropriate value for theusemask
parameter.(gh-19615)
... (truncated)
4adc87d
Merge pull request #20685 from charris/prepare-for-1.22.0-releasefd66547
REL: Prepare for the NumPy 1.22.0 release.125304b
wipc283859
Merge pull request #20682 from charris/backport-204165399c03
Merge pull request #20681 from charris/backport-20954f9c45f8
Merge pull request #20680 from charris/backport-20663794b36f
Update armccompiler.pyd93b14e
Update test_public_api.py7662c07
Update init.py311ab52
Update armccompiler.pyDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase
.
Bumps numpy from 1.13.1 to 1.22.0.
Sourced from numpy's releases.
v1.22.0
NumPy 1.22.0 Release Notes
NumPy 1.22.0 is a big release featuring the work of 153 contributors spread over 609 pull requests. There have been many improvements, highlights are:
- Annotations of the main namespace are essentially complete. Upstream is a moving target, so there will likely be further improvements, but the major work is done. This is probably the most user visible enhancement in this release.
- A preliminary version of the proposed Array-API is provided. This is a step in creating a standard collection of functions that can be used across application such as CuPy and JAX.
- NumPy now has a DLPack backend. DLPack provides a common interchange format for array (tensor) data.
- New methods for
quantile
,percentile
, and related functions. The new methods provide a complete set of the methods commonly found in the literature.- A new configurable allocator for use by downstream projects.
These are in addition to the ongoing work to provide SIMD support for commonly used functions, improvements to F2PY, and better documentation.
The Python versions supported in this release are 3.8-3.10, Python 3.7 has been dropped. Note that 32 bit wheels are only provided for Python 3.8 and 3.9 on Windows, all other wheels are 64 bits on account of Ubuntu, Fedora, and other Linux distributions dropping 32 bit support. All 64 bit wheels are also linked with 64 bit integer OpenBLAS, which should fix the occasional problems encountered by folks using truly huge arrays.
Expired deprecations
Deprecated numeric style dtype strings have been removed
Using the strings
"Bytes0"
,"Datetime64"
,"Str0"
,"Uint32"
, and"Uint64"
as a dtype will now raise aTypeError
.(gh-19539)
Expired deprecations for
loads
,ndfromtxt
, andmafromtxt
in npyio
numpy.loads
was deprecated in v1.15, with the recommendation that users usepickle.loads
instead.ndfromtxt
andmafromtxt
were both deprecated in v1.17 - users should usenumpy.genfromtxt
instead with the appropriate value for theusemask
parameter.(gh-19615)
... (truncated)
4adc87d
Merge pull request #20685 from charris/prepare-for-1.22.0-releasefd66547
REL: Prepare for the NumPy 1.22.0 release.125304b
wipc283859
Merge pull request #20682 from charris/backport-204165399c03
Merge pull request #20681 from charris/backport-20954f9c45f8
Merge pull request #20680 from charris/backport-20663794b36f
Update armccompiler.pyd93b14e
Update test_public_api.py7662c07
Update init.py311ab52
Update armccompiler.pyDependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase
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Bumps notebook from 5.7.8 to 6.4.12.
Dependabot will resolve any conflicts with this PR as long as you don't alter it yourself. You can also trigger a rebase manually by commenting @dependabot rebase
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