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Save models from xgb.cv#795

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vykhand wants to merge 84 commits intodmlc:masterdmlc/xgboost:masterfrom vykhand:masterCopy head branch name to clipboard

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Commits on Feb 1, 2016

• If prediction = T, xgb.cv would also save fitted models for all the folds

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Commits on Feb 8, 2016

• change the formula of fsplit value

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• Update build.md

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• Merge pull request #813 from angadgill/patch-2

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• Merge pull request #812 from samuel-liyi/master

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Commits on Feb 10, 2016

• [DISK] Add shard option to disk

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• [MEM] Add rowset struct to save memory with billion level rows

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• [METRIC] change metric accumulator to double

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• [TREE] Refactor histmaker

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• [TREE] Cleanup some functions, add utility function for two pass

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• [TREE] switch to two pass

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• [DMLC] Update dmlc

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• [PLUGIN] Add densify parser

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• [DMLC] update dmlccore

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• [DIST] fix distirbuted setting

  

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• remove reserve for more aggressive memory generation

  

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• increase shard

  

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• [TREE] Remove gap constraint, make tree construction more robust

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• [TREE] Enable global proposal for faster speed

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• [APPROX] Make global proposal default, add group ptr solution

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• add feature_importances_ property for XGBClassifier

  

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• Update dmlc-core

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• Merge pull request #816 from tqchen/master

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Commits on Feb 11, 2016

• If prediction = T, xgb.cv would also save fitted models for all the folds

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• Merge branch 'master' of https://github.com/vykhand/xgboost

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Commits on Feb 15, 2016

• Fix CV which was monitoring train-metric

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• Merge pull request #830 from fsimond/patch-1

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• stratified cv for python wrapper

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• Added the possibility to use custom objective function in the sklearn API

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• Merge pull request #823 from Far0n/py_cv

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Commits on Feb 16, 2016

• Merge branch 'master' into master

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• Created decorator function so that custom objective function passed to the constructor are more consistent with the sklearn conventions. Added comments in the doc string

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• - Added test cases for the use of custom objective functions

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• Merge branch 'master' of github.com:AlexisMignon/xgboost

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• fix cran, update version to 0.4-3

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• Merge pull request #836 from hetong007/master

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• Merge pull request #818 from webgeist/master

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Commits on Feb 17, 2016

• Merge branch 'master' into master

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Commits on Feb 18, 2016

• Merge pull request #833 from AlexisMignon/master

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Commits on Feb 19, 2016

• update windows instructions

  

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• Merge pull request #845 from thirdwing/master

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• re-using the verbose-eval parameter in the cv and aggcv methods and tests adapted

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• Merge pull request #827 from ivallesp/master

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Commits on Feb 21, 2016

• changed the param show_progress by verbose_eval in cv and aggcv functions

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• Merge pull request #849 from ivallesp/master

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Commits on Feb 23, 2016

• Delete training.py

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• [Doc] documents update:

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Commits on Feb 24, 2016

• Merge pull request #859 from thirdwing/master

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• create mae

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• Merge branch 'master' into mae

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• Minor fix on installation guide and (the probably deprecated) build script

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Commits on Feb 25, 2016

• Merge pull request #848 from Kontinuation/master

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• Awesome-XGBoost, first commit

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• add TOC, simplied text in the solution section

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• cause this code test pickle the booster, so change bst2 -> bst3

  

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• return best_ntree_limit if early stopped

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• Merge pull request #868 from catena/master

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• move TOC under title

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• Merge pull request #864 from phunterlau/master

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• Merge pull request #860 from zhengruifeng/mae

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• [TRAVIS] Fix script

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• [doc] update news

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• Merge pull request #872 from tqchen/master

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• Update readme

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• [CLI] Fix model save problem

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• Merge pull request #875 from tqchen/master

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• [DOC] reorg docs

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• Merge pull request #876 from tqchen/master

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Commits on Feb 26, 2016

• Update README.md

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• Update README.md

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• Merge pull request #867 from wyj2046/master

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• [DIST] Add Distributed XGBoost on AWS Tutorial

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• Merge pull request #877 from tqchen/master

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• temp compatibility with sklearn

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• Merge pull request #878 from tqchen/master

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• Update index.md

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• Update README.md

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Commits on Feb 27, 2016

• fix PyPi Description issue

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• Merge pull request #885 from ChrisBarker-NOAA/patch-1

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• Fix testcase after update and allow hdfs load

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• Plugging in gp_xgboost_gridsearch

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• Merge pull request #887 from vatsan/patch-1

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Commits on Feb 28, 2016

• If prediction = T, xgb.cv would also save fitted models for all the folds

  vykhand

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• Merge branch 'master' of https://github.com/vykhand/xgboost

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