…ecomputed

…earn#16347)

…learn#16305)

…arn#16382)

…abetes dataset (scikit-learn#16341)

* exchanged the boston for diabetes dataset loading

* updated the feature names

* exchanged remaining feature names

* cleaning up

* changed features used to age and bmi for easier understanding

Fixes scikit-learn#15604

This is more computationally expensive than the previous implementation,
but should reduce memory costs substantially in common use cases.

accidentally pushed to master

This reverts commit ae9eaf8.

…learn#16245)

… .… (4) (scikit-learn#16320)

* Update random_state doc for mutual_info.py, unsupervised.py, testing.py and utils/init.py

* Update comments from pr

* Update sklearn/metrics/cluster/_unsupervised.py

Co-Authored-By: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* Update sklearn/utils/__init__.py

Co-Authored-By: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* Update sklearn/utils/__init__.py

Co-Authored-By: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

Co-authored-by: Jérémie du Boisberranger <34657725+jeremiedbb@users.noreply.github.com>

* fix max_leaf_node max_depth interaction

* Added test

* comment

* what's new

* simpler solution

* moved and simplified test

* typo

…ForestClassifier (scikit-learn#15971)

* dropping python-3.5

* fix install guide

* fix setup.py

* fix circleci

* advanced_installation

* index.html

* readme

* pyparsing.py

* remove clean_warning_registry

* 1.13.1 and 1.19.1

* don't use 16.04

* 18.04 libatlas-dev -> libatlas-base-dev

* min pillow version for 3.6 is 4.2.1

* echo commands

* fix conflict, and 32 bit

* fix conflict for circle

* fix scikit-image version dep

* mark tests as xfail on 32bit py3.6

* move to 1.13.3 min numpy version, and simplify old code

* remove the rest of _object_dtype_isnan usages

* Revert "remove the rest of _object_dtype_isnan usages"

This reverts commit c6e867e.

* fix issues raised by jeremy

* minor fix

* minor fixes mentioned by Olivier

…6411)

* DOC promote shallow copy in the docs

* a shorter version

…16244)

* add pyproject.toml

* do it in CI

* cln

* no build isolation in the doc

* bump dependencies

* no-build-isolation everywhere needed

* add Bunch to public docs and API

* address Thomas's suggestions

* use Thomas's description

…learn#16430)

…earn#15575)

…learn#16428)

…it-learn#16415)

…cikit-learn#16261)

…#14516)

…kit-learn#14675)

* Add context to tutorial example

*  try to keep line length under 80 characters

* make CI pass

* MNT Skips unsupervised_learning when scikit-image is not installed

* DOC make code comments as text

* solve issue plotting

* fix

* center images

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>
Co-authored-by: Thomas J Fan <thomasjpfan@gmail.com>

…it-learn#16112)

…t lack of parallelism in the method (scikit-learn#16599)

…egressor (scikit-learn#15151)

* Added MLPRegressor and MLPClassifier examples

* shortened line due to test failure

* changed way to calculate score due to approximation error in tests

* removed comments, used predict instead of cross validation

* DOC Simplified make_regression and make_classification arguments

* DOC fix for linting

* DOC Update

* DOC Less precision

Co-authored-by: Thomas J Fan <thomasjpfan@gmail.com>

* MNT Users pull request labeler

* MNT Fix

* labeler fix

* MNT Update

* MNT Uses single quotes

* BUG Uses number

* MN Removes Build / CI auto labeling

* MNT Updates to labeler v2.4.1

* ENH Updates version to include logs

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