more on LARS (we're getting there) #2

agramfort · 2010-09-01T13:06:00Z

No description provided.

Pietro Berkes

ogrisel · 2010-09-01T22:09:07Z

+1 for the merge

ogrisel · 2010-09-01T22:10:18Z

btw, the new pull request UI is great: we should use it more often!

Later we should implement a way to just give max_features and he will compute the full path, but at least we now have a LassoLARS that gives the same results as the coordinate descent version.

Improved error handling

Square2rect

Sparse PCA

Robertlayton kmeans transform2

Multilabel

Update random forest example to demo n_jobs=2

Hmmc

… estimator

…13243) * Remove unused code * Squash all the PR 9040 commits initial PR commit seq_dataset.pyx generated from template seq_dataset.pyx generated from template #2 rename variables fused types consistency test for seq_dataset a sklearn/utils/tests/test_seq_dataset.py new if statement add doc sklearn/utils/seq_dataset.pyx.tp minor changes minor changes typo fix check numeric accuracy only up 5th decimal Address oliver's request for changing test name add test for make_dataset and rename a variable in test_seq_dataset * FIX tests * TST more numerically stable test_sgd.test_tol_parameter * Added benchmarks to compare SAGA 32b and 64b * Fixing gael's comments * fix * solve some issues * PEP8 * Address lesteve comments * fix merging * avoid using assert_equal * use all_close * use explicit ArrayDataset64 and CSRDataset64 * fix: remove unused import * Use parametrized to cover ArrayDaset-CSRDataset-32-64 matrix * for consistency use 32 first then 64 + add 64 suffix to variables * it would be cool if this worked !!! * more verbose version * revert SGD changes as much as possible. * Add solvers back to bench_saga * make 64 explicit in the naming * remove checking native python type + add comparison between 32 64 * Add whatsnew with everyone with commits * simplify a bit the testing * simplify the parametrize * update whatsnew * fix pep8

* initial commit * used random class * fixed failing testcases, reverted __init__.py * fixed failing testcases #2 - passed rng as parameter to ParameterSampler class - changed seed from 0 to 42 (as original) * fixed failing testcases #2 - passed rng as parameter to SparseRandomProjection class * fixed failing testcases scikit-learn#4 - passed rng as parameter to GaussianRandomProjection class * fixed failing test case because of flake 8

…13243) * Remove unused code * Squash all the PR 9040 commits initial PR commit seq_dataset.pyx generated from template seq_dataset.pyx generated from template scikit-learn#2 rename variables fused types consistency test for seq_dataset a sklearn/utils/tests/test_seq_dataset.py new if statement add doc sklearn/utils/seq_dataset.pyx.tp minor changes minor changes typo fix check numeric accuracy only up 5th decimal Address oliver's request for changing test name add test for make_dataset and rename a variable in test_seq_dataset * FIX tests * TST more numerically stable test_sgd.test_tol_parameter * Added benchmarks to compare SAGA 32b and 64b * Fixing gael's comments * fix * solve some issues * PEP8 * Address lesteve comments * fix merging * avoid using assert_equal * use all_close * use explicit ArrayDataset64 and CSRDataset64 * fix: remove unused import * Use parametrized to cover ArrayDaset-CSRDataset-32-64 matrix * for consistency use 32 first then 64 + add 64 suffix to variables * it would be cool if this worked !!! * more verbose version * revert SGD changes as much as possible. * Add solvers back to bench_saga * make 64 explicit in the naming * remove checking native python type + add comparison between 32 64 * Add whatsnew with everyone with commits * simplify a bit the testing * simplify the parametrize * update whatsnew * fix pep8

* initial commit * used random class * fixed failing testcases, reverted __init__.py * fixed failing testcases scikit-learn#2 - passed rng as parameter to ParameterSampler class - changed seed from 0 to 42 (as original) * fixed failing testcases scikit-learn#2 - passed rng as parameter to SparseRandomProjection class * fixed failing testcases scikit-learn#4 - passed rng as parameter to GaussianRandomProjection class * fixed failing test case because of flake 8

Tversions

Varimax PR: address review comments

…#10591) * Initial add DET curve to classification metrics * Add DET to exports * Fix DET-curve doctest errors - Sample snippet in model_evaluation documentation was outdated. * Clarify wording in DET-curve computation - Align to the wording of ranking module to make it consistent. - Add correct describtion of input and outputs. - Update and fix non-existent links * Beautify DET curve documentation source - Limit line length to 80 characters. * Expand DET curve documentation - Add an example plot to show difference between ROC and DET curves. - Expand Usage Note section with background information and properties of DET curves. * Update DET-curve documentation - Fix typos and some grammar improvements. - Use named references to avoid potential conflicts with other sections. - Remove unneeded references and improved existing ones by using e.g. using versioned links. * Select relevant DET points using slice object * Remove some dubiety from DET curve doc-string * Add DET curve contributors * Add tests for DET curves * Streamline DET test by using parametrization * Increase verbosity of DET curve error handling - Explicitly sanity check input before computing a DET curve. - Add test for perfect scores. - Adapt indentation style to match the test module. * Add reference for DET curves in invariance test * Add automated invariance checks for DET curves * Resolve merge artifacts * Make doctest happy * Fix whitespaces for doctest * Revert unintended whitespace changes * Revert unintended white space changes #2 * Fix typos and grammar * Fix white space in doc * Streamline test code * Remove rebase artifacts * Fix PR link in doc * Fix test_ranking * Fix rebase errors * Fix import * Bring back newlines - Swallowed by copy/paste * Remove uncited ref link * Remove matplotlib deprecation warning * Bring back hidden reference * Add motivation to DET example * Fix lint * Add citation * Use modern matplotlib API Co-authored-by: Jeremy Karnowski <jeremy.karnowski@gmail.com> Co-authored-by: Julien Cornebise <julien@cornebise.com> Co-authored-by: Daniel Mohns <daniel.mohns@zenguard.org>

…scikit-learn#10591) * Initial add DET curve to classification metrics * Add DET to exports * Fix DET-curve doctest errors - Sample snippet in model_evaluation documentation was outdated. * Clarify wording in DET-curve computation - Align to the wording of ranking module to make it consistent. - Add correct describtion of input and outputs. - Update and fix non-existent links * Beautify DET curve documentation source - Limit line length to 80 characters. * Expand DET curve documentation - Add an example plot to show difference between ROC and DET curves. - Expand Usage Note section with background information and properties of DET curves. * Update DET-curve documentation - Fix typos and some grammar improvements. - Use named references to avoid potential conflicts with other sections. - Remove unneeded references and improved existing ones by using e.g. using versioned links. * Select relevant DET points using slice object * Remove some dubiety from DET curve doc-string * Add DET curve contributors * Add tests for DET curves * Streamline DET test by using parametrization * Increase verbosity of DET curve error handling - Explicitly sanity check input before computing a DET curve. - Add test for perfect scores. - Adapt indentation style to match the test module. * Add reference for DET curves in invariance test * Add automated invariance checks for DET curves * Resolve merge artifacts * Make doctest happy * Fix whitespaces for doctest * Revert unintended whitespace changes * Revert unintended white space changes scikit-learn#2 * Fix typos and grammar * Fix white space in doc * Streamline test code * Remove rebase artifacts * Fix PR link in doc * Fix test_ranking * Fix rebase errors * Fix import * Bring back newlines - Swallowed by copy/paste * Remove uncited ref link * Remove matplotlib deprecation warning * Bring back hidden reference * Add motivation to DET example * Fix lint * Add citation * Use modern matplotlib API Co-authored-by: Jeremy Karnowski <jeremy.karnowski@gmail.com> Co-authored-by: Julien Cornebise <julien@cornebise.com> Co-authored-by: Daniel Mohns <daniel.mohns@zenguard.org>

read.me 수정

Merge pull request scikit-learn#2 from dataignitelab/master

Feature/agent

Merging changes from the main repository

…cython-oop ParallelReduction class hierarchy (POC for scikit-learn#20254)

pr feedback

deprecation warning for negative ndcg

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>

Better CSS for doc links

GaelVaroquaux added 2 commits September 1, 2010 22:20

BUG: Fix warnings module not imported in coordinate_descent. Thanks to

29ab733

Pietro Berkes

Merge branch 'master' of github.com:scikit-learn/scikit-learn

edc0774

agramfort and others added 7 commits September 2, 2010 15:56

BUG : fix in Lars at the end of path + more tests (not working yet)

2d942d1

ENH : using explained variance as score for regression problems

cfc090b

ENH: on the use of explained_variance in mixin regressor class

b44e1c8

DOC: more work on svm module.

6e708ab

Fix in LARS: specify manually number of interations for full path.

7d3a01e

Later we should implement a way to just give max_features and he will compute the full path, but at least we now have a LassoLARS that gives the same results as the coordinate descent version.

Remove "debugging" traces...

780b92f

Fix doctests.

394fab4

ogrisel referenced this pull request in ogrisel/scikit-learn May 30, 2011

Merge pull request #2 from larsmans/pberkes-mldata

df1fda0

Improved error handling

WeatherGod referenced this pull request in WeatherGod/scikit-learn Jun 7, 2011

Merge pull request GaelVaroquaux#2 from WeatherGod/square2rect

372b125

Square2rect

agramfort referenced this pull request in agramfort/scikit-learn Jun 22, 2011

Merge pull request #2 from agramfort/sparsepca

6b0b36d

Sparse PCA

mblondel added a commit that referenced this pull request Aug 24, 2011

Merge pull request #2 from ogrisel/robertlayton-kmeans_transform2

e9ae6f1

Robertlayton kmeans transform2

robertlayton mentioned this pull request Oct 21, 2011

Adjusted Mutual Information #402

Merged

amueller referenced this pull request in amueller/scikit-learn Dec 21, 2011

Merge pull request #2 from mblondel/multilabel

28f947d

Multilabel

ndawe referenced this pull request in ndawe/scikit-learn Jan 2, 2012

Merge pull request #2 from ogrisel/glouppe-parallel-forest

7aedf4b

Update random forest example to demo n_jobs=2

wslihgt pushed a commit to wslihgt/scikit-learn that referenced this pull request Mar 10, 2012

Merge pull request scikit-learn#2 from GaelVaroquaux/hmmc

e361207

Hmmc

pprett mentioned this pull request Jul 16, 2012

[MRG] Tree speedup #946

Merged

GaelVaroquaux mentioned this pull request Oct 23, 2012

MRG: Speed up euclidean_distances with Cython #1006

Closed

ogrisel mentioned this pull request Oct 30, 2013

[MRG] Regression metrics return arrays for multi-output cases #2493

Closed

2 tasks

ogrisel mentioned this pull request Jun 2, 2014

[MRG]: Use coordinate_descent_gram when precompute is True | auto #3220

Closed

ogrisel mentioned this pull request Nov 25, 2014

[MRG] Improve stability of SGDClassifier / SGDRegressor with gradient clipping #3883

Merged

amueller mentioned this pull request Jan 5, 2015

Improve guide to contributing #3912

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mjbommar mentioned this pull request Feb 4, 2015

Adding unit test to cover ties/duplicate x values in Isotonic Regression... #4185

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AlexanderKUA mentioned this pull request Feb 11, 2015

GBM Prediction Interval #4210

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hannawallach mentioned this pull request Mar 9, 2015

[MRG+1] Use more natural class_weight="auto" heuristic #4347

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jnothman mentioned this pull request Jul 28, 2016

Setting idf_ is impossible #7102

Closed

sergeyf added a commit to sergeyf/scikit-learn that referenced this pull request Nov 7, 2016

Changing predict_std to return_std scikit-learn#2

0a3ccd2

yc2311 pushed a commit to nyu-ossd-s19/scikit-learn that referenced this pull request Apr 21, 2019

Draft scikit-learn#2: suggested changes for score_samples and density…

7ee238c

… estimator

nitya mentioned this pull request Aug 28, 2019

Updated _output_2d_ attributes documentation for DummyClassifier and… #14801

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alekslovesdata pushed a commit to alekslovesdata/scikit-learn that referenced this pull request Nov 2, 2019

Merge pull request scikit-learn#2 from MZeej/tversions

e5044b9

Tversions

monikasoni mentioned this pull request Nov 9, 2019

Import sklearn dumps core #15580

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ogrisel mentioned this pull request Feb 7, 2020

[MRG] DOC Add example about interpretation of coefficients of linear models #15706

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3 tasks

KumarGanesha1996 mentioned this pull request Jun 1, 2020

[WIP] Kd tree, ball tree error #17400

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ericpre pushed a commit to ericpre/scikit-learn that referenced this pull request Jun 23, 2020

Merge pull request scikit-learn#2 from ericpre/varimax

b4b3bd0

Varimax PR: address review comments

dmohns pushed a commit to dmohns/scikit-learn that referenced this pull request Jul 18, 2020

Revert unintended white space changes scikit-learn#2

394bd47

prismdata pushed a commit to prismdata/scikit-learn that referenced this pull request Oct 28, 2020

Merge pull request scikit-learn#2 from dataignitelab/master

1246f36

read.me 수정

prismdata pushed a commit to prismdata/scikit-learn that referenced this pull request Oct 28, 2020

Merge pull request scikit-learn#3 from dataignitelab/develop

2d1dd3d

Merge pull request scikit-learn#2 from dataignitelab/master

prismdata added a commit to prismdata/scikit-learn that referenced this pull request Oct 28, 2020

Merge pull request scikit-learn#2 from dataignitelab/feature/agent

3aed7d1

Feature/agent

hongshaoyang pushed a commit to hongshaoyang/scikit-learn that referenced this pull request Nov 10, 2020

Merge pull request scikit-learn#2 from scikit-learn/master

464dc37

Merging changes from the main repository

efiegel added a commit to efiegel/scikit-learn that referenced this pull request Nov 25, 2020

fixed causes of linting errors (try scikit-learn#2)

867249f

MichalRIcar mentioned this pull request Jan 27, 2021

PCA inner function collision with matplotlib.pyplot #19285

Closed

IchiruTake mentioned this pull request Mar 22, 2021

[Changed behavior] n_iter_no_change should be attached with early_stopping, not model #19743

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yoni2k mentioned this pull request Jul 18, 2021

Stratified GroupKFold #13621

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mbatoul pushed a commit to mbatoul/scikit-learn that referenced this pull request Aug 3, 2021

Merge pull request scikit-learn#2 from jjerphan/pairwise_aggregation_…

3cdc476

…cython-oop ParallelReduction class hierarchy (POC for scikit-learn#20254)

Micky774 referenced this pull request in Micky774/scikit-learn Feb 15, 2022

Merge pull request #2 from TonyAttalla/tests-pr-feedback

e12051f

pr feedback

ZHCSOFT mentioned this pull request Mar 10, 2022

random Segfaults on distance_transform_edt with Intel 12 Alder lake (E-Core enabled) #22744

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Micky774 referenced this pull request in Micky774/scikit-learn May 25, 2022

Merge pull request #2 from trinhcon/fix/ndcg-score-with-test

07a2447

deprecation warning for negative ndcg

glemaitre mentioned this pull request Jun 29, 2022

fetch_lfw_pairs issue #23750

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Vincent-Maladiere added a commit to Vincent-Maladiere/scikit-learn that referenced this pull request Aug 3, 2022

DOI update suggestion scikit-learn#2

8091ea4

Co-authored-by: Guillaume Lemaitre <g.lemaitre58@gmail.com>

davedice mentioned this pull request May 4, 2023

Add a facility that allows random forest classifiers to be combined after training #26326

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LilianBoulard pushed a commit to LilianBoulard/scikit-learn that referenced this pull request Jun 21, 2023

Merge pull request scikit-learn#2 from GaelVaroquaux/rcap

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Better CSS for doc links

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more on LARS (we're getting there) #2

more on LARS (we're getting there) #2

agramfort commented Sep 1, 2010

ogrisel commented Sep 1, 2010

ogrisel commented Sep 1, 2010

more on LARS (we're getting there) #2

more on LARS (we're getting there) #2

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agramfort commented Sep 1, 2010

ogrisel commented Sep 1, 2010

ogrisel commented Sep 1, 2010