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• [scikit-learn] SLEP25: BaseEstimator.freeze Adrin via scikit-learn
• Re: [scikit-learn] scikit-learn Digest, Vol 101, Issue 2 Matheus Prol via scikit-learn
• [scikit-learn] Using towncrier for changelog management Adrin via scikit-learn
• [scikit-learn] [ANN] New core maintainer: Lucy Liu Guillaume Lemaître via scikit-learn
• [scikit-learn] Fwd: [SP] Standardized system for parameter management across Scientific Python libraries Adrin via scikit-learn
• [scikit-learn] [ANN] scikit-learn 1.5.2 is online! Guillaume Lemaître
• [scikit-learn] ANN: model-diagnostics 1.2 released Christian Lorentzen
• [scikit-learn] about permission and attribution Sevda Nur GENC
  • Re: [scikit-learn] about permission and attribution sakshi seth
  • Re: [scikit-learn] about permission and attribution Reshama Shaikh
• Re: [scikit-learn] scikit-learn Digest, Vol 98, Issue 3 Adam Li
• [scikit-learn] Welcome Adam Li as a new maintainer Adrin
  • Re: [scikit-learn] Welcome Adam Li as a new maintainer Gael Varoquaux
  • Re: [scikit-learn] Welcome Adam Li as a new maintainer Reshama Shaikh
• Re: [scikit-learn] scikit-learn Digest, Vol 98, Issue 1 Mukesh Muthiyan
• [scikit-learn] Skrub 0.2.0: tabular learning made easy Gael Varoquaux
• [scikit-learn] [ANN] scikit-learn 1.5.1 is online! Jérémie du Boisberranger
  • Re: [scikit-learn] [ANN] scikit-learn 1.5.1 is online! Guillaume Lemaître
  • Re: [scikit-learn] [ANN] scikit-learn 1.5.1 is online! Gael Varoquaux
• [scikit-learn] Request for Scikit-learn Documentation Update - Decision Tree page Chandrasekaran Ramachandran
• [scikit-learn] why the modification in the df-idf formula? Sole Galli via scikit-learn
  • Re: [scikit-learn] why the modification in the df-idf formula? Sebastian Raschka
  • Re: [scikit-learn] why the modification in the df-idf formula? Sole Galli via scikit-learn
• [scikit-learn] [ANN] scikit-learn 1.5.0 release Jérémie du Boisberranger
  • Re: [scikit-learn] [ANN] scikit-learn 1.5.0 release Reshama Shaikh
• [scikit-learn] [ANN] scikit-learn 1.5.0rc1 is online ! Please test Jérémie du Boisberranger
• [scikit-learn] Scikit-learn PR: "Linux pymin_conda_defaults_openblas" "Upload to Codecov" Failed H C
  • Re: [scikit-learn] Scikit-learn PR: "Linux pymin_conda_defaults_openblas" "Upload to Codecov" Failed H C
  • Re: [scikit-learn] Scikit-learn PR: "Linux pymin_conda_defaults_openblas" "Upload to Codecov" Failed Gael Varoquaux
• [scikit-learn] target encoder: fit_transform vs fit.transform Sole Galli via scikit-learn
• [scikit-learn] Adding layers to an existing decision tree Zawack, Kelson
• [scikit-learn] Permission to print two of your images DI LEO Rosita via scikit-learn
  • Re: [scikit-learn] Permission to print two of your images Gael Varoquaux
  • Re: [scikit-learn] Permission to print two of your images roy Marsten
  • Re: [scikit-learn] Permission to print two of your images Dalibor Hrg
• [scikit-learn] round robin triage Adrin
  • Re: [scikit-learn] round robin triage Guillaume Lemaître
  • Re: [scikit-learn] round robin triage Adrin
  • Re: [scikit-learn] round robin triage Tim Head
  • Re: [scikit-learn] round robin triage Jeremie du Boisberranger
• [scikit-learn] [ANN] New core contributor: Yao Xiao Guillaume Lemaître
  • Re: [scikit-learn] [ANN] New core contributor: Yao Xiao Adrin
  • Re: [scikit-learn] [ANN] New core contributor: Yao Xiao Gael Varoquaux
  • Re: [scikit-learn] [ANN] New core contributor: Yao Xiao Loïc Estève via scikit-learn
  • Re: [scikit-learn] [ANN] New core contributor: Yao Xiao Reshama Shaikh
• [scikit-learn] [ANN] scikit-learn 1.4.1.post1 is online! Guillaume Lemaître
  • [scikit-learn] [ANN] scikit-learn 1.4.2 is online! Jeremie du Boisberranger
  • Re: [scikit-learn] [ANN] scikit-learn 1.4.2 is online! olivier combescure
• [scikit-learn] error code linear models carlos gonzalez
  • [scikit-learn] error code linear models carlos gonzalez
• [scikit-learn] Data Analysis Advice Murat DIRAMALI via scikit-learn
• [scikit-learn] How to create a binary tree hierarchy given a list of elements as its leaves marc nicole
• [scikit-learn] Decsion tree Visualization Kulkarni, Apoorva
  • Re: [scikit-learn] Decsion tree Visualization Christian Braune
  • Re: [scikit-learn] Decsion tree Visualization Kulkarni, Apoorva
• [scikit-learn] level search traversal on binary decision regression tree with recursive calls returning wrong node order marc nicole
  • Re: [scikit-learn] level search traversal on binary decision regression tree with recursive calls returning wrong node order Christian Braune
  • Re: [scikit-learn] level search traversal on binary decision regression tree with recursive calls returning wrong node order marc nicole
• [scikit-learn] How to extract subtree from a RegressionTree using the tree attribute? marc nicole
  • Re: [scikit-learn] How to extract subtree from a RegressionTree using the tree attribute? Christian Braune
• Re: [scikit-learn] [ANN] scikit-learn 1.4.0rc1 is online ! Please test Christian Lorentzen
  • [scikit-learn] [ANN] scikit-learn 1.4.0 release Jeremie du Boisberranger
  • Re: [scikit-learn] [ANN] scikit-learn 1.4.0 release Christian Lorentzen
• [scikit-learn] video: scikit-learn's Past, Present and Future — with scikit-learn co-founder Dr. Gaël Varoquaux Reshama Shaikh
  • Re: [scikit-learn] video: scikit-learn's Past, Present and Future — with scikit-learn co-founder Dr. Gaël Varoquaux Gael Varoquaux
• [scikit-learn] scikit-learn 1.3.2 is online! Guillaume Lemaître
• [scikit-learn] Introducing PyMilo: A New Way to Transport Pre-trained ML Models Sepand Haghighi via scikit-learn
  • Re: [scikit-learn] Introducing PyMilo: A New Way to Transport Pre-trained ML Models Adrin
• [scikit-learn] Request / Proposal: integrating IEEE paper in scikit-learn as "feature_selection.EFS / EFSCV" and cancer_benchmark datasets Dalibor Hrg
  • Re: [scikit-learn] Request / Proposal: integrating IEEE paper in scikit-learn as "feature_selection.EFS / EFSCV" and cancer_benchmark datasets Ulderico Santarelli
  • Re: [scikit-learn] Request / Proposal: integrating IEEE paper in scikit-learn as "feature_selection.EFS / EFSCV" and cancer_benchmark datasets Gael Varoquaux
  • Re: [scikit-learn] Request / Proposal: integrating IEEE paper in scikit-learn as "feature_selection.EFS / EFSCV" and cancer_benchmark datasets Dalibor Hrg
  • Re: [scikit-learn] Request / Proposal: integrating IEEE paper in scikit-learn as "feature_selection.EFS / EFSCV" and cancer_benchmark datasets Dalibor Hrg
• [scikit-learn] [ANN] scikit-learn 1.3.1 is online! Guillaume Lemaître
• [scikit-learn] CLUSTER ANALYSIS AND THE SEARCH OF A SAMPLE MODE Ulderico Santarelli
  • Re: [scikit-learn] CLUSTER ANALYSIS AND THE SEARCH OF A SAMPLE MODE Jaime Lopez
  • Re: [scikit-learn] CLUSTER ANALYSIS AND THE SEARCH OF A SAMPLE MODE Ulderico Santarelli
  • Re: [scikit-learn] CLUSTER ANALYSIS AND THE SEARCH OF A SAMPLE MODE Ulderico Santarelli
  • Re: [scikit-learn] CLUSTER ANALYSIS AND THE SEARCH OF A SAMPLE MODE Jaime Lopez
  • Re: [scikit-learn] CLUSTER ANALYSIS AND THE SEARCH OF A SAMPLE MODE Ulderico Santarelli
  • Re: [scikit-learn] CLUSTER ANALYSIS AND THE SEARCH OF A SAMPLE MODE Ulderico Santarelli
• [scikit-learn] Welcome to our new documentation team! Adrin
  • Re: [scikit-learn] Welcome to our new documentation team! Gael Varoquaux
• [scikit-learn] Classification and Regression Trees Jon Dickens
• [scikit-learn] Custom Logging - GridSearchCV Andrew Howe
• [scikit-learn] Using scikit-learn for homework. haxan aqarsu
  • Re: [scikit-learn] Using scikit-learn for homework. Adrin
  • Re: [scikit-learn] Using scikit-learn for homework. haxan aqarsu
• [scikit-learn] Subject: An error in an example עדו סוקולובסקי
• [scikit-learn] passing y to .transform() in pipeline Florin Andrei
  • [scikit-learn] A: Axel Yair Rodriguez Garcia
  • Re: [scikit-learn] passing y to .transform() in pipeline Gaël Varoquaux
• [scikit-learn] VOTE: adding a documentation team to the scikit-learn governance Adrin
• [scikit-learn] ANN: imbalanced-learn 0.11.0 released Guillaume Lemaître
• [scikit-learn] New FOSS project powered by scikit-learn: tradero Matemática A3K
• [scikit-learn] Nightly wheels now uploaded to a new location Tim Head
• [scikit-learn] version warning - do I have to fix the minor version when unpickling? Martin Gütlein
  • Re: [scikit-learn] version warning - do I have to fix the minor version when unpickling? Guillaume Lemaître
  • Re: [scikit-learn] version warning - do I have to fix the minor version when unpickling? Martin Gütlein
  • Re: [scikit-learn] version warning - do I have to fix the minor version when unpickling? Guillaume Lemaître
• [scikit-learn] CFP: GitHub copilot for PRs Adrin
  • Re: [scikit-learn] CFP: GitHub copilot for PRs Guillaume Lemaître
• [scikit-learn] VOTE: Governance update: elevating voting rights Adrin
• [scikit-learn] scikit-learn monthly developer meeting: Monday March 27, 2023 Thomas J. Fan
• [scikit-learn] obtaining intervals from the decision tree struture Sole Galli via scikit-learn
  • Re: [scikit-learn] obtaining intervals from the decision tree struture Guillaume Lemaître
• [scikit-learn] New core developer: Tim Head Christian Lorentzen
  • Re: [scikit-learn] New core developer: Tim Head Tim Head
  • Re: [scikit-learn] New core developer: Tim Head Ruchika Nayyar
  • Re: [scikit-learn] New core developer: Tim Head Sebastian Raschka
  • Re: [scikit-learn] New core developer: Tim Head Chris Aridas
• [scikit-learn] classification model that can handle missing values w/o learning from missing values Martin Gütlein
  • Re: [scikit-learn] classification model that can handle missing values w/o learning from missing values Martin Gütlein
  • Re: [scikit-learn] classification model that can handle missing values w/o learning from missing values Gael Varoquaux
  • Re: [scikit-learn] classification model that can handle missing values w/o learning from missing values Martin Gütlein
  • Re: [scikit-learn] classification model that can handle missing values w/o learning from missing values Gael Varoquaux
  • Re: [scikit-learn] classification model that can handle missing values w/o learning from missing values Martin Gütlein
  • Re: [scikit-learn] classification model that can handle missing values w/o learning from missing values Guillaume Lemaître
• [scikit-learn] mutual information for continuous variables with scikit-learn m m
  • Re: [scikit-learn] mutual information for continuous variables with scikit-learn Sole Galli via scikit-learn
  • Re: [scikit-learn] mutual information for continuous variables with scikit-learn Gael Varoquaux
  • Re: [scikit-learn] mutual information for continuous variables with scikit-learn m m
• [scikit-learn] [ANN] scikit-learn 1.2.1 is online! Julien Jerphanion
• [scikit-learn] scikit-learn monthly developer meeting: Monday February 27, 2023 Thomas J. Fan
• [scikit-learn] VOTE SLEP 20: Simplifying Governance Changes Thomas J. Fan
• [scikit-learn] scikit-learn monthly developer meeting: Monday January 9, 2023 Thomas J. Fan
• [scikit-learn] Query regarding svm function vaibhavi patel
• [scikit-learn] ANN: imbalanced-learn 0.10.0 released Guillaume Lemaître
• [scikit-learn] scikit-learn monthly developer meeting: Monday November 28, 2022 Thomas J. Fan
• [scikit-learn] ANN: New member in the Contributor Experience Team Guillaume Lemaître
• [scikit-learn] VotingRegressor with pretrained estimators from CV as input Fernando Marcos Wittmann
  • Re: [scikit-learn] VotingRegressor with pretrained estimators from CV as input Adrin
• [scikit-learn] Deprecation of the 'sklearn' PyPI package starts December 1st Loïc Estève via scikit-learn
  • Re: [scikit-learn] Deprecation of the 'sklearn' PyPI package starts December 1st Loïc Estève via scikit-learn
• [scikit-learn] Inquiry on evolutionary/genetic algorithms Ellarizza Fredeluces via scikit-learn
• [scikit-learn] VOTE SLEP 17 Andreas Mueller
• [scikit-learn] Inquiry on Genetic Algorithm Ellarizza Fredeluces via scikit-learn
  • Re: [scikit-learn] Inquiry on Genetic Algorithm Thomas Evangelidis
  • Re: [scikit-learn] Inquiry on Genetic Algorithm Matthieu Brucher
  • Re: [scikit-learn] Inquiry on Genetic Algorithm Trevor Stephens
• [scikit-learn] [ANN] scikit-learn 1.1.3 is online! Guillaume Lemaître
  • Re: [scikit-learn] [ANN] scikit-learn 1.1.3 is online! Olivier Grisel
  • [scikit-learn] [ANN] scikit-learn 1.2.2 is online! Jeremie du Boisberranger
  • Re: [scikit-learn] [ANN] scikit-learn 1.2.2 is online! Guillaume Lemaître
• [scikit-learn] Discrepancy in "Feature importances with a forest of trees" documentation Serafeim Loukas
• [scikit-learn] Pandas DataFrame output is now available for all sklearn transformers Reshama Shaikh
  • Re: [scikit-learn] Pandas DataFrame output is now available for all sklearn transformers Reshama Shaikh
• [scikit-learn] Decision function for kernel method SVM not reproducible. Riko Naka
• [scikit-learn] scikit-learn monthly developer meeting: October 31, 2022 Thomas J. Fan
• [scikit-learn] is Sci_kiet-Learn the right choice for my project Mike Oliver
  • Re: [scikit-learn] is Sci_kiet-Learn the right choice for my project Bob Helmbold via scikit-learn
  • Re: [scikit-learn] is Sci_kiet-Learn the right choice for my project Brown J.B. via scikit-learn
  • Re: [scikit-learn] is Sci_kiet-Learn the right choice for my project Bill Ross
  • Re: [scikit-learn] is Sci_kiet-Learn the right choice for my project Mike Oliver
• [scikit-learn] Scientific Python SPECs : CI Best Practices Chiara Marmo
• [scikit-learn] methods available from last estimator in pipeline Gregory, Matthew
  • Re: [scikit-learn] methods available from last estimator in pipeline Sole Galli via scikit-learn
  • Re: [scikit-learn] methods available from last estimator in pipeline bmreiniger via scikit-learn
  • Re: [scikit-learn] methods available from last estimator in pipeline Gregory, Matthew
• [scikit-learn] New core developer: Meekail Zain Thomas J. Fan
• [scikit-learn] scikit-learn monthly developer meeting: Monday Sept 26, 2022 Thomas J. Fan
• [scikit-learn] Fwd: [SciPy-Dev] Use of another CI provider for native linux_aarch64 and macosx_arm64 Adrin
• [scikit-learn] Query about backword compatibility of scikit-learn 1.2 with older versions of scikit-learn Mehul Kantaria
  • Re: [scikit-learn] Query about backword compatibility of scikit-learn 1.2 with older versions of scikit-learn Adrin
  • Re: [scikit-learn] Query about backword compatibility of scikit-learn 1.2 with older versions of scikit-learn praveen thenraj
• [scikit-learn] ANN: New members in the Contributor Experience Team Guillaume Lemaître
• [scikit-learn] Scikit-learn metrics - Maximal Marginal Relevance praveen thenraj
• [scikit-learn] [ANN] scikit-learn 1.1.2 is online! Guillaume Lemaître
  • Re: [scikit-learn] [ANN] scikit-learn 1.1.2 is online! Adrin
• [scikit-learn] scikit-learn monthly developer meeting: Monday Sept 5, 2022 Thomas J. Fan
• [scikit-learn] question regarding 'RANSACRegressor' object has no attribute 'inlier_mask_' Shang-Rou Hsieh via scikit-learn
  • Re: [scikit-learn] question regarding 'RANSACRegressor' object has no attribute 'inlier_mask_' Guillaume Lemaître
  • Re: [scikit-learn] question regarding 'RANSACRegressor' object has no attribute 'inlier_mask_' Shang-Rou Hsieh via scikit-learn
• [scikit-learn] Call for Participation ClinSpEn at Biomedical WMT Shared Task (WMT/EMNLP 2022 Martin Krallinger
• [scikit-learn] scikit-learn monthly developer meeting: Monday July 25, 2022 Thomas J. Fan
• [scikit-learn] VOTE SLEP018 - Pandas Output for Transformers Thomas J. Fan
• [scikit-learn] Double hinge loss Maroan K
  • Re: [scikit-learn] Double hinge loss Alan G. Isaac
• [scikit-learn] article: Value of Open Source Sprints + more blogs Reshama Shaikh
• [scikit-learn] New contributer Dev Karan Joshi
  • Re: [scikit-learn] New contributer Guillaume Lemaître
• [scikit-learn] scikit-learn monthly developer meeting: Monday June 27, 2022 Thomas J. Fan
• [scikit-learn] Kernels in logistic regression model Serafeim Loukas
• [scikit-learn] Announcement of EuroSciPy 2022 Guillaume Lemaître
• [scikit-learn] [ANN] scikit-learn 1.1.1 is online! Guillaume Lemaître
  • Re: [scikit-learn] [ANN] scikit-learn 1.1.1 is online! Olivier Grisel
  • Re: [scikit-learn] [ANN] scikit-learn 1.1.1 is online! Olivier Grisel
• [scikit-learn] Experience with black formatting in scikit-learn for astropy Tom Aldcroft
  • Re: [scikit-learn] Experience with black formatting in scikit-learn for astropy Guillaume Lemaître
  • Re: [scikit-learn] Experience with black formatting in scikit-learn for astropy Olivier Grisel
  • Re: [scikit-learn] Experience with black formatting in scikit-learn for astropy Tom Aldcroft
• [scikit-learn] ANN: imbalanced-learn 0.9.1 released Guillaume Lemaître
• [scikit-learn] Multiplicative Weights Update Algorithm Contribution Jonathan Li
• [scikit-learn] View full sized k_means.labels_ Mahmood Naderan
  • Re: [scikit-learn] View full sized k_means.labels_ Adrin
  • Re: [scikit-learn] View full sized k_means.labels_ Sole Galli via scikit-learn
• [scikit-learn] scikit-learn monthly developer meeting: Monday May 30, 2022 Thomas J. Fan
• [scikit-learn] suggestion for metrics.classification_report David R
• [scikit-learn] Call for papers for the 5th international workshop on machine learning in clinical neuroimaging MLCN Workshop
• [scikit-learn] Questions on computation precision of DBSCAN Mingzhe Hu

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