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9014e40 simplify data.table() call in generateFeatureValuesData() (#2719) 13 January 2020, 15:52:34 UTC
4bc5126 * `listLearners()` should not fail if a package is not installed (#2717) 13 January 2020, 15:47:57 UTC
3d7e0aa Bump version to 2.17.0.9000 10 January 2020, 22:23:02 UTC
7d38e64 remove direct calls to classiFunc:: at all 10 January 2020, 16:19:01 UTC
4b7ef5c don't call classiFunc:: within makeParamSet() -> triggers rev dep failures 10 January 2020, 13:08:17 UTC
cc80af0 ignore .vscode 09 January 2020, 14:45:52 UTC
e124753 Increment version number 06 January 2020, 09:24:24 UTC
662dddc Circle: Try fixing codecov, run on latest R version 31 December 2019, 13:49:32 UTC
39d9bfd remove cran-comments.md 31 December 2019, 10:16:48 UTC
fbc76d3 add packageStartupMessage 30 December 2019, 21:31:03 UTC
10c8940 tests: fix tests for R 3.5 28 December 2019, 12:48:14 UTC
f81b4be update .pre-commit 28 December 2019, 10:42:55 UTC
1200927 tests: Skip tests on R3.5 requiring Hmisc pkg 28 December 2019, 10:41:51 UTC
963b76f pkgdown: move all badges to sidebar 21 December 2019, 09:08:45 UTC
96d9872 also set NOT_CRAN for the codecov job 21 December 2019, 09:07:41 UTC
4fabc81 set NOT_CRAN=true on circle 21 December 2019, 08:38:58 UTC
f62f925 Test: Improve runtime, clean (#2704) * save state * save changes * fix all base_ tests * clean run-base.R, delete baseoncran * classifC50 * save changes * save changes * learner classif all done * save changes * save changes * fix tests * save changes * fix * fix fda tests * fix perf test * more fixes * fix tests * fix ksvm test * fix bgp test * replace <- with = 21 December 2019, 08:35:18 UTC
c712434 skip tests on CRAN 20 December 2019, 22:52:16 UTC
24943bc pkgdown: account for badges 20 December 2019, 21:42:56 UTC
cc0cc38 Allow ensemble filters to include multiple base filters of the… (#2693) * Allow ensemble filters to have duplicates of the same base method. Pass the base methods and the arguments to them as named lists, where the names are identifiers to identify the method used. * Fixed problem with 'melt' - column names of fval were incorrect. * Added unit test and news. * Fixed call to mapply so that it cannot e called with a null argument. * Fixed issues requested by reviewer - indentation and spaces around =. * Changes requested in PR * Changes requested in PR 2693 * Styling changes and authorship * Did a reset (not hard) to try and fix problems * whitespace > tabs * format and fix test failures * Changed melt to use filter, not method * fix news * fix filterWrapper doc 19 December 2019, 09:42:12 UTC
b16636d update README 18 December 2019, 17:09:14 UTC
0857d21 add stale bot 18 December 2019, 16:57:41 UTC
272ac62 Deploy from CircleCI build 1264 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/1264 Commit: 17 December 2019, 04:08:28 UTC
9de9c6e Add option to pass custom thresholding function to filters (#2692) * Add additional arguments to filterFeatures and makeFilterWrapper so that you can pass a custom thresholding function - fw.func, fw.func.args. * Added unit test and news. * Allowed for custom functin and arguments to be NULL in makeDiscreteVectorLearnerParam. Allowed for func to be NULL in filterFeatures. * Used special.vals to allow for NULL in parameter setup for fw.func. * Removed default value for fw.func in makeFunctionLearnerParam. * Changed makeDiscreteVectorLearnerParam to makeUntypedLearnerParam ifor fw.func.args so as not to have to pass a 'values' argument. * Changes requested on pull request. * Changes requested via PR. * Changes requested on PR. Styling, use of a different test filter, name change for new arguments. * Forgot to save changes in FilterWrapper.R - change of argument names * Fixed syntax error * Fixed function call in trainLearner.FilterWrapper * Incorrect spelling of function name. * Must order on filter,value, not method,value. * Changed filter and expected result in test * Styling in mlr-style * Reformatted news 13 December 2019, 20:21:16 UTC
fa8f32b Allow RF Minimal Depth Filter to do its own thresholding (#2690) * Remove always.use argument to randforestSRC_var.select filter. Subset results of filter using topvars for variable hunting method. Adjust value of nselect to only reflect non-null values. * Added unit test and news. * Removed unwanted whitespace. * In randomForestSRC.var.select filter, set depth value to NA for any features not in $topvars, instead of modifying nselect in filterFeatures.R. * Fixed syntax error. * Removed test for RF in depth filter returning issing alues. This is allowed now. * Styling * Styling in mlr-style * rf.min.depth -> randomForestSRC_var.select 13 December 2019, 13:06:48 UTC
f4f85c4 simplify circle ci yml 13 December 2019, 08:16:48 UTC
5e7173b fix R CMD check note about undefined global variables 11 December 2019, 21:50:56 UTC
c84473d circle: R v3.5.3 needs a different cache due to glmnet 11 December 2019, 16:52:06 UTC
0808ccc update feature_selection.Rmd 11 December 2019, 14:08:00 UTC
c2f2bf6 add and fix plotFilterValues tests 11 December 2019, 09:45:41 UTC
d1d4f49 fix create_filter vignette 10 December 2019, 22:05:59 UTC
a2dbb22 plotFilterValues() gains 'filter' arg to simplify handling of fvalues with mutiple filters 10 December 2019, 22:04:17 UTC
7e29935 circleci: fix cache checksum 10 December 2019, 07:34:25 UTC
a1ce189 Make `n.show` arg work in `plotFilterValues()` (#2696) * make n.show wokr * add NEWS * fix man * refactor plotFilterValues fix * remove facet option * restore labs behavior * fix coloring on feature type * update doc, show x out of Y in title * own test for plotFilterValues, move generateFilterValuesData to _featsel_ instead of _base_ * add vdiffr test plots * show all features by default * add test checking the behavior of n.show * fix arg default * update test figs * document * upd vdiffr tests * fix tests 08 December 2019, 21:57:59 UTC
c2c9f36 fix tests 08 December 2019, 20:20:32 UTC
ecbf90d fix R CMD check note about undefined variables 08 December 2019, 15:43:08 UTC
ca2d723 document 08 December 2019, 14:50:21 UTC
f1a11bd Add support for functional data analysis (FDA) (#2638) * classif_FDboost * prediction works * documentation on FDboost * add assert of functional dataframe in the prediction of FDboost * add fgam learner * add comments to push again to slve the referece is not a tree problem * add bsignal feature extraction * dtw * include classiFunc::classiKnn in mlr * unit tests for the classiFunc::classiKnn learner * add myself as contributor * unit test for classiFunc::classiKernel * complete unit test * complete unit test * create unit test for classiKernel * quadprog is needed for estimating the brier score optimal ensemble * include brier score optimal ensemble and best base learner as new stacked learners * include test for brier score optimal stacked learner * docu * styleguide * test that classiFunc.knn can be predicted in parallel * delete duplicated file * fix parallel test for classiFunc.knn * add nderiv in kernel test * merge from Florian 1935 * add makefile for cleanup * clean fdboost * change FDboost name * fgam * fix unit test, move FDA multiRes features out * add doc to FGAM * fgam code change make more strict * Fda pull2 fix extract fda features (#2176) * Init fda with matrix * More unit tests, add some convenience * Colname prints are ugly for already provided matricies * Add functionals to task.desc.feat * getTaskData changed * Add unittests for functionals = TRUE flag in changeData * Add examples for makeFunctionalData * Fix target. extra, now returing message when converting * More unittests, fix tiny bug * Fix unittests for orderedfactors, remake tasks to update task.desc * datasets definition changed * Add learners and tests * test objects and tasks for fda structure added * Change desc, unittests etc. * fdaknn implemented, unittests pass * SUpport probabilities for fdaknn * Silence lintr * Fix typo in unittests * Silence message * Fix resampling and add probs / unittests for prrobs for fdaknn * ROC and tunethreshold tests * Fix subsetTask for functionals * generateCalibration test * Improve FDBoost, Needs fixed by smilesun * added tests for Threshold calibration and ROC * Silence lintr 1/2 * Fix lintr and add more unittests * Silence lintr 2/2 * fdaregr and fdaclassif benchmarks for fda and non-fda lrns * Fix newlien * Fix and add unittests, add more informative error messages * Extend documentation, add unittest * Update docu for makeTaskData * Added learners, already fixed np, glm and knn * Rename learner files * change kernel learner * Update fdakernel, still something missing * Add probs, fix unittests * Fix suggestions by Bernd 1/2 * Fixed learners * Fix unittests for new getTaskData * Remake fda datasets * Remake gunpoint.task * Fix TaskDesc and remake datasets * hand task instead of regr|classif in order to allow for fda learners * Fix problems introduced by vcapply and ordered factors * Fix unittests for new makeFunctionalData * Rename fgam, move shapelets to todo-files * Rename shapelet learner files, start fixing regression learners * Fix documentation * Restart travis * Add FeatureExtraction * Fix fda feature extractors * Fix some unittests for featureExtraction * Remove reference to templates * restart travis * Fixed unittests and some residual bugs from porting extractFDAFeatures * Fix extractFDAFeatures * Add note to shapelet learner * Add extractFDAFeatures * extractFDAFpca * Start fixing multires features * Add extractMultiResFeatures * Fix multiresolution features and some unittests * fix FDboost (#1901) * Fixed unittests and FDboost * Speedup fdBoost, start fixing fgam * Move fgam learner to todo-files * Update News * Add phoneme multiclass fda task * Add single.funcitional property * Update news, lapply instead of sapply * Restart travis * Fix merge conflicts 2/2 * Fix FDboost learner, can now deal with ONLY numerics * Fix indents to restart travis * Fix lintr * Silence lintr 2/2 * Update documentation to pass R CMD check * Fix docu 2/2 * Fix lintr again * Fix typo * Remove man again * Revert namespace * ... * ... * ... * Rename classif learners to fdausc.name * ... * Rename regr learners for functional data * Fix missing update in kernel * ... * Update unittests for new learner names and dfcols * Update FIXMEs in tests * ... * ... * ... * ... * ... * ... * makeFunctionalData now allows NULL and empty list * ... * extractFunctions into Methods * Rename task in example and reExtract to reextract * Fix docs * Fix and restructure tests * Fix unittests for extractFDAFeatures * Delete empty test files * Fix unittests and reextract calls * Update makeFunctionalData * Docu for getFunctionalFeatures, fixed bugs, more asserts * Unittests for getFunctionalFeatures * Extend unittests! * Update docs * Add docu for task, update featureless learns, unittests for featureless lrns * Fix tests * feat.methods can now be multiply specified * dont export getFunctionalFeatures * NEWS * ... * ... * ... * ... * ... * ... * Fix # 1928 * Fix #1930 * Fix #1933, cols -> col, revert new param for now * Fix cols -> col * Fix typo, add comment * assert Namedlist * Fix missing family, add comment * Add asserts and enhance docu for multires feature extraction * Better asserts * Fix docs and example for extractFDAFeatures * Fixed comments by Bernd * assertCharacter -> assertString * Make description better * Default as last * Re-add example * First fix for wavelets methods, remove unccessessary FIXME * Fix missing objects, adjust unittests * Update documentation * Update docs * Fix newlines / merge artifacts * Re-add and fix example * Re-enable unittests, changed feat extract output colnames * Fix unittests and undocument missing param * Delete duplicated function * space added * Fix failing unit-tests due to fda.usc update * make a better version of fgam regr * fix MONSTER bug Now LCE (stackedLearner with method = "classif.bs.optimal") is correct * fix bug in classif.bs.optimal * add test for classiKnn metric = rucrdtw * fgam refine * rename learners * Fda lte fix parsets (#2239) * Allow paramsets for extractFDAFeaturesWrapper * Enable tuning of extractFDAFeaturesMethods * Extend unittests * Fda lte fix parsets (#2243) * Allow paramsets for extractFDAFeaturesWrapper * Enable tuning of extractFDAFeaturesMethods * Extend unittests * Move Bsignal and add paramset * Rename fdafgam to fgam * Fix metric for knn/np and kernel * Fix defaults again, this is kind of ugly * add hyper para set for DTW feature extraction * add dtw to descrption * Fix multiclass for FDA and fix Fourier features * Add tsfeatures extractor * Add basic tests * Tentative fix to pass parsets through wrapper * Fix default sets * Fix many unittests * Fix dtw, use rucrdtw instead of dtw * n.refs to fraction * Fix parset * Fix fda.usc learners and unittests * Enable pars for reextract, fix missing functionals in removeConstFeats * Special treating reextract is actually not needed * Make sure correct columns are reextracted * fix fgam bug * Add more docs * add classif fgam * fix refactor bug * fgam classification works * integration of clasif regr fgam * fix fgam classif test * remove warnings in paramset of fgam * integrate code of fdboost classif and regres * FDboost refine * fgam * add prob output for classif fdboost and fgam * Fix fdboost! * refund pfr seems to not support non-functional components * Fix lintr and RCHECK * fix lintr in DTW * fix lintr in wavelets * Fix lintr 2/X * fix linter * lintr * change param sets and some tsfeatures * lintr * refactor fgam * lintr fgam * FDboost recode * fix lintr * remove reduandant code * multires * clean multires * Local changes * . * fix unit test * fix all unit test in test(filter=fda * have bsignal and pca in seperate files * add missing github packages to travis * fix lintr, warnings and note unfixed * lint * Hopfefully fix dtwkernel and fix multires docs * Update docs * Fix some docs and hopefully FDboost * Add defaults * Fix docs ?? * Fix some docs, refactor unit tests * Fix prop direction * Add refund::af to fgam * fix doc * Ensure multires works with res.level 1 and add unittest * New roxygen notation and edit DESCRIPTION * Fix tests and travis * Revert :: and use requirePackages() instead * Delete FPCA so Travis can regenerate it? * Revert "Delete FPCA so Travis can regenerate it?" This reverts commit ee1c9b700c3492e23f7f17c0bfbf451028d18b92. * update stuff * Revert commited docsQ * Fix parset names again * whitespace * Newline for comments * See wether changes in tic.R resolve issues * Fix FDboost labelswitching issue * delete makefile * Extend param ranges, fix FDboost * fix fgam NA parameter problem * re structure * Reset NAMESPACE * Add :: * Add classiFunc * fix fda feat extractors * Move files, unittests, start fixing all respective methods * Start fourier * Start fixing tests * Rework tests * Further fix tests * Fix unit tests * Move github remotes to description * Fix more unittests * All unittests pass now * Add missing args to docs * make tsfeats more robust * Fixme should be resolved * Add seed * seed for cv test * explain functionals more in depth * PCA -> FPCA * Add classifunc hyperpar * tsfeatures now on cran * Deploy from Travis build 13492 [ci skip] Build URL: https://travis-ci.org/mlr-org/mlr/builds/509925615 Commit: 90ae5e24b2158b15ae3349abef7edd92fb35ca30 * apply style guide * Update docs * fix test * weird seed problems * Fix unit tests, disable printer for fdausc.knn * Fix lintr * Update fourier definition * remove unneded set.seed() calls * optimize test listLeaners() * fix data.table issue for sortByCol() * document * Update rd and tests * any * restart * reset man/ to master * Update FDboost and classifunc * More classiFunc * Update fgam * More fixes, fgam prob works now * Fix tests * More updates * MOre fixes * fix typo * clean up * Update news * Update RLearner_classif_classiFunc.knn.R Add lost hyper param * cleanup 08 December 2019, 14:43:14 UTC
b5567c8 skip more h2o tests 08 December 2019, 13:12:34 UTC
3e09b44 Merge branch 'master' of github.com:mlr-org/mlr 08 December 2019, 13:00:59 UTC
8b76bd6 Some test suite optimization (#2703) * delete NEWS * fix warnings and maskings and remove unnecessary else(), precommit: allow provate imports 07 December 2019, 16:42:26 UTC
e1fbe9f Update tree_method values for XGBoost learners (#2701) * Update classif.Xgboost learner added tree_method values and chaged default * Update RLearner_regr_xgboost.R * Update DESCRIPTION `tree_method = c("hist", "gpu_hist")` added in XGBoost v0.7 back in december/2017. * add NEWS 07 December 2019, 16:42:14 UTC
6ec070f Deploy from CircleCI build 1076 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/1076 Commit: 07 December 2019, 14:52:18 UTC
4c94249 Merge branch 'master' of github.com:mlr-org/mlr 07 December 2019, 12:42:53 UTC
61b00b8 Fix thresholding in `filterFeatures()` for ensemble filters (#2700) * ensure that ensemble filters rank correctly * rename * fix filterFeatures() behavior and add test * style * method -> filter for internal robustness; use select.method instead of additonal ensemble if-clause * make "thresholding" subsetting work for ensemble filters * add NEWS * add test * fix test * fix tests and upd roxygen, precommit * style 07 December 2019, 12:40:56 UTC
c1551d1 merge origin/master 07 December 2019, 12:22:40 UTC
ed48b7e Fix ranking of ensemble filters (#2698) * ensure that ensemble filters rank correctly * rename * fix filterFeatures() behavior and add test * style * method -> filter for internal robustness; use select.method instead of additonal ensemble if-clause * fix test * upd precommit yml * fix tests and upd roxygen * add NEWS.md 07 December 2019, 12:20:52 UTC
e833b14 delete NEWS 07 December 2019, 10:06:11 UTC
ee364f0 upd precommit 07 December 2019, 09:56:08 UTC
4a6415f Merge branch 'master' of github.com:mlr-org/mlr 07 December 2019, 08:29:27 UTC
837d8df require data.table >= 1.12.4 07 December 2019, 08:29:13 UTC
e34e1b9 Deploy from CircleCI build 1018 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/1018 Commit: 06 December 2019, 15:35:19 UTC
919a896 update to roxygen 7.0.2 06 December 2019, 12:53:01 UTC
680619b Deploy from CircleCI build 992 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/992 Commit: 06 December 2019, 11:37:28 UTC
88a0774 style package 06 December 2019, 09:59:55 UTC
5e02d0d Deploy from CircleCI build 976 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/976 Commit: 06 December 2019, 04:16:52 UTC
f12affb add pkgdown site url to DESCR 05 December 2019, 20:20:10 UTC
eb14d97 Deploy from CircleCI build 944 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/944 Commit: 04 December 2019, 04:21:41 UTC
27f0ba4 update refs linking to regr.randomForest, fixes #2695 03 December 2019, 15:55:21 UTC
119f712 precommit: add note how to install mlr-style 03 December 2019, 15:52:36 UTC
bcdbcbf precommit: no lintr check 03 December 2019, 15:50:20 UTC
8e0be7c ignore revdep/ 03 December 2019, 15:00:03 UTC
a71d93b use mlr_style in pre-commit 01 December 2019, 21:10:22 UTC
99dcc05 Merge branch 'master' of github.com:mlr-org/mlr 01 December 2019, 21:07:25 UTC
07dfe3c use pre-commit framework 01 December 2019, 21:06:47 UTC
dd17795 Deploy from CircleCI build 892 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/892 Commit: 01 December 2019, 03:59:38 UTC
56e453d Deploy from CircleCI build 854 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/854 Commit: 26 November 2019, 23:50:24 UTC
b26c72c Increment version number 26 November 2019, 22:22:48 UTC
ce82484 use pkgdown dev & release 26 November 2019, 22:20:58 UTC
0645b98 Increment version number 26 November 2019, 22:18:54 UTC
e7ec04d Deploy from CircleCI build 827 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/827 Commit: 22 November 2019, 04:19:45 UTC
6f38e71 adjust to roxygen2 v7.0 21 November 2019, 15:40:50 UTC
2d29097 Update glmnet parameters (#2682) * upd glmnet learners * upd glmnet learners * clean * forgit id= * fix tests 21 November 2019, 11:32:33 UTC
ba9ce80 upd NEWS 20 November 2019, 14:51:47 UTC
8adc936 Update xgboost parameters (#2681) * upd xgboost parameters * clean 20 November 2019, 14:51:50 UTC
bf9313c fix config file 17 November 2019, 13:52:11 UTC
5a1c1c5 forgot ':' 17 November 2019, 13:39:37 UTC
fa03339 use circlei ci yaml v2.1 17 November 2019, 13:38:42 UTC
8be120e more circle ci adaption 17 November 2019, 13:36:58 UTC
f6f75e8 Merge branch 'master' of github.com:mlr-org/mlr 17 November 2019, 13:35:51 UTC
051ff7f fix circle.config 17 November 2019, 13:35:32 UTC
ccd6b84 fix circle.config 17 November 2019, 13:35:28 UTC
519c552 CI: Don't error if packages are not available for certain R ver… (#2680) * do not fail if R package is not avail * skip tests requiring glmnet * skip more tests if glmnet is missing 17 November 2019, 13:32:26 UTC
61dba55 codecov and deploy only on master branch 17 November 2019, 13:32:08 UTC
5a6b035 pkgdown: use multi-page news 17 November 2019, 11:17:06 UTC
1691e09 Deploy from CircleCI build 729 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/729 Commit: 17 November 2019, 10:37:22 UTC
d918923 fix fda.usc learners after v2.0 update (#2679) * fix fda.usc learners * use old approach * fix calibration tests 17 November 2019, 09:29:35 UTC
b66eecd pkgdown: http -> https 15 November 2019, 13:44:28 UTC
3c0d4a1 pkgdown: move reference section to navbar, subgroup articles 13 November 2019, 19:26:08 UTC
a869571 Deploy from CircleCI build 653 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/653 Commit: 12 November 2019, 23:02:41 UTC
a16c2a4 Add pkgdown reference index (#2675) * add pkgdown reference index * man/ * upd NEWS * add help pages as sections to makeLearner()' * use latest pkgdown navbar notation * rename logo_lavbar.png to logo.png for pkgdown * rename logo_lavbar.png to logo.png for pkgdown 12 November 2019, 19:21:08 UTC
362f598 Update `RLearner_classif_h2odeeplearning.R` (#2668) * Update RLearner_classif_h2odeeplearning.R Added params. * style changes for travis * updated type set stopping rounds as integer and added requirement to stopping metric. * Update metrics and added distribution * Update RLearner_regr_h2odeeplearning.R changes in distributions and stopping metrics * add NEWS 10 November 2019, 09:34:04 UTC
24c8715 move statement about reproducibility to wiki 09 November 2019, 09:26:48 UTC
8dcd9e7 add codecov badge 07 November 2019, 21:08:24 UTC
7d5c907 Refactor tests (#2665) * Deploy from Travis build 14311 [ci skip] Build URL: https://travis-ci.org/mlr-org/mlr/builds/602006807 Commit: 36930f6fc08dd1f2077149f9e637228daca21713 * fix listLearners test * fix h2o tests * Deploy from Travis build 14329 [ci skip] Build URL: https://travis-ci.org/mlr-org/mlr/builds/603320973 Commit: 8129fd9d9503a641d69b94e3eacc7a1f074dd7a7 * fix tolerance values * fix costsense wrapper for parallel test * rename mylist -> listLearnersCustom * mylist -> listLearnersCustom * increase tolerance * enable parallel tests * run codecov * run codecov * require xmeans * require xmeans * require xmeans * Deploy from Travis build 14338 [ci skip] Build URL: https://travis-ci.org/mlr-org/mlr/builds/603463287 Commit: d3ff3f3afe858f76aae156b4bd1b27a06e1d1dbd * no parallel tests * Deploy from Travis build 14350 [ci skip] Build URL: https://travis-ci.org/mlr-org/mlr/builds/603490850 Commit: 8265d3d7dee2e7b9943fe72e8bcecfd3881f35c2 * merge master * test parallel * openmpi * openmpi * req snow * only socket mode * fix test * test multicore * Deploy from Travis build 14372 [ci skip] Build URL: https://travis-ci.org/mlr-org/mlr/builds/606264674 Commit: 40ce7cf8814e6cbfa3e1df345c5835eaef40b384 * split parallel tests * run with parallel tests * run base without seed changes * fix listLearners test * fix R 3.6 errors * more tests without special seed * set extra seed * remove extra seed everywhere * merge master * remove rmpi and snow * Deploy from CircleCI build 427 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/427 Commit: * clean pkgdown * make tests generic * add repr info to readme * Deploy from CircleCI build 470 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/470 Commit: * rm docs/ 07 November 2019, 19:31:47 UTC
6d35478 Robustify 1-row matrix returns from prediction (#2674) * fix * add ref * add test * add expection to test * fix test * Deploy from CircleCI build 480 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/480 Commit: * <- evolves to = * clean 07 November 2019, 08:14:39 UTC
e683629 Serve pkgdown from gh-pages branch (#2676) * deploy to gh-pages * remove docs/ 06 November 2019, 21:52:52 UTC
ff4a958 Update praznik tests to work with v7.0.0 (#2672) * update praznik test * upd NEWS * Deploy from CircleCI build 437 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/437 Commit: * Deploy from CircleCI build 469 [ci skip] Build URL: https://circleci.com/gh/mlr-org/mlr/469 Commit: 06 November 2019, 18:27:21 UTC
446c8a5 update Pull Request template 06 November 2019, 07:07:10 UTC
5ba34f3 deploy during cron 06 November 2019, 06:57:28 UTC
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