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mlr3learners
Recommended learners for mlr3
https://mlr3learners.mlr-org.com
GNU Lesser General Public License v3.0
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release: 0.9.0
#327
be-marc
opened
1 day ago
0
Release mlr3learners 0.9.0
#326
be-marc
opened
2 days ago
0
Error loading learner regr.lm
#325
wolfgang5o5
opened
3 days ago
2
chore: typo in documentation of LearnerRegrKM; drop redundant task$truth() in .train
#324
sumny
opened
5 days ago
0
BREAKING CHANGE: remove loglik method from all learners
#323
be-marc
closed
1 week ago
0
chore(deps): bump JamesIves/github-pages-deploy-action from 4.6.8 to 4.6.9
#322
dependabot[bot]
closed
1 week ago
0
Update `{regr,classif}.ranger` learner for 0.17.0
#321
jemus42
closed
2 weeks ago
6
Difference between Classification and Regression learners
#320
lincj1994
opened
2 weeks ago
0
base_margin refactoring
#319
bblodfon
opened
2 weeks ago
0
release: 0.8.0
#318
be-marc
closed
4 weeks ago
0
Release mlr3learners 0.8.0
#317
be-marc
closed
4 weeks ago
0
fix: remove unused hyperparameter of ranger
#316
be-marc
closed
1 month ago
0
ranger should be refactored
#315
mb706
closed
1 month ago
1
nnet learner should support 'logical' features
#314
mb706
closed
1 month ago
1
Does argument 'censored' make sense for our classif / regr NNet learners?
#313
mb706
opened
1 month ago
0
chore(deps): bump JamesIves/github-pages-deploy-action from 4.6.3 to 4.6.8
#312
dependabot[bot]
closed
1 month ago
0
chore(deps): bump JamesIves/github-pages-deploy-action from 4.6.3 to 4.6.4
#311
dependabot[bot]
closed
1 month ago
1
compatibility: weights_learner
#310
be-marc
closed
1 month ago
0
support base_margin for xgboost
#309
bblodfon
closed
2 months ago
3
feat: add quantile regression to ranger
#308
be-marc
closed
3 months ago
0
chore: change xgboost default nrounds from 1 to 1000
#307
be-marc
closed
3 months ago
0
BREAKING_CHANGE(xgboost): stricter checks on eval_metric
#306
sebffischer
closed
3 months ago
0
feat(logreg): add weights property
#305
sebffischer
closed
3 months ago
0
chore(deps): bump JamesIves/github-pages-deploy-action from 4.5.0 to 4.6.3
#304
dependabot[bot]
closed
3 months ago
0
Weights reworked
#303
mllg
closed
2 months ago
0
fix validation for regr.xgboost
#302
sebffischer
closed
3 months ago
0
Implement internal tuning for cv.glmnet
#301
sebffischer
opened
3 months ago
0
feat: use mlr3 measures as internal validation measures
#300
be-marc
closed
3 months ago
0
better comments for glmnet
#299
sebffischer
closed
3 months ago
0
release: 0.7.0
#298
be-marc
closed
4 months ago
0
Release mlr3learners 0.7.0
#297
be-marc
closed
3 months ago
0
xgb tuning / validation
#296
sebffischer
closed
5 months ago
0
Some warnings when running tests: `WARN [00:25:41.591] [mlr3] train: glm.fit: algorithm did not converge` etc. [ FAIL 0 | WARN 0 | SKIP 3 | PASS 550 ]
#295
barracuda156
closed
3 months ago
2
Feat/inner valid
#294
sebffischer
closed
5 months ago
0
refactor: use `tsk()`, `stopf()`, and minor lints
#293
m-muecke
closed
3 months ago
0
feat: add learner memory usage methods
#292
be-marc
closed
3 months ago
1
fix: xgboost param test
#291
be-marc
closed
7 months ago
0
release: 0.6.0
#290
be-marc
closed
8 months ago
0
Release mlr3learners 0.6.0
#289
be-marc
closed
5 months ago
0
Feat/train predict
#288
sebffischer
closed
3 months ago
0
anticipate mlr3 and mlr3pipelines changes
#287
sebffischer
closed
9 months ago
0
fix: remove degree from svm default tuning space
#286
be-marc
closed
9 months ago
0
ci: add dependabot for GHA
#285
m-muecke
closed
3 months ago
0
chore: bump actions/checkout from 3 to 4 and JamesIves/github-pages-d…
#284
m-muecke
closed
8 months ago
0
docs: link to torch and not keras
#283
sebffischer
closed
10 months ago
0
fix: xgboost nrounds default value
#282
be-marc
closed
10 months ago
0
cv.glmnet weights are inverted
#281
tdhock
closed
7 months ago
4
release: 0.5.8
#280
be-marc
closed
11 months ago
0
Release mlr3learners 0.5.8
#279
be-marc
closed
11 months ago
0
refactor: read task features from state
#278
be-marc
closed
11 months ago
0
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