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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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chore(deps): bump JamesIves/github-pages-deploy-action from 4.6.3 to 4.6.4
#311
dependabot[bot]
opened
5 days ago
0
compatibility: weights_learner
#310
be-marc
opened
2 weeks ago
0
support base_margin for xgboost
#309
bblodfon
closed
1 week ago
3
feat: add quantile regression to ranger
#308
be-marc
closed
3 weeks ago
0
chore: change xgboost default nrounds from 1 to 1000
#307
be-marc
closed
3 weeks ago
0
BREAKING_CHANGE(xgboost): stricter checks on eval_metric
#306
sebffischer
closed
3 weeks ago
0
feat(logreg): add weights property
#305
sebffischer
closed
4 weeks ago
0
chore(deps): bump JamesIves/github-pages-deploy-action from 4.5.0 to 4.6.3
#304
dependabot[bot]
closed
4 weeks ago
0
Weights reworked
#303
mllg
closed
2 weeks ago
0
fix validation for regr.xgboost
#302
sebffischer
closed
1 month ago
0
Implement internal tuning for cv.glmnet
#301
sebffischer
opened
1 month ago
0
feat: use mlr3 measures as internal validation measures
#300
be-marc
closed
3 weeks ago
0
better comments for glmnet
#299
sebffischer
closed
1 month ago
0
release: 0.7.0
#298
be-marc
closed
2 months ago
0
Release mlr3learners 0.7.0
#297
be-marc
closed
4 weeks ago
0
xgb tuning / validation
#296
sebffischer
closed
2 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
4 weeks ago
2
Feat/inner valid
#294
sebffischer
closed
2 months ago
0
refactor: use `tsk()`, `stopf()`, and minor lints
#293
m-muecke
closed
1 month ago
0
feat: add learner memory usage methods
#292
be-marc
closed
4 weeks ago
1
fix: xgboost param test
#291
be-marc
closed
5 months ago
0
release: 0.6.0
#290
be-marc
closed
6 months ago
0
Release mlr3learners 0.6.0
#289
be-marc
closed
2 months ago
0
Feat/train predict
#288
sebffischer
closed
4 weeks ago
0
anticipate mlr3 and mlr3pipelines changes
#287
sebffischer
closed
6 months ago
0
fix: remove degree from svm default tuning space
#286
be-marc
closed
7 months ago
0
ci: add dependabot for GHA
#285
m-muecke
closed
4 weeks ago
0
chore: bump actions/checkout from 3 to 4 and JamesIves/github-pages-d…
#284
m-muecke
closed
6 months ago
0
docs: link to torch and not keras
#283
sebffischer
closed
7 months ago
0
fix: xgboost nrounds default value
#282
be-marc
closed
7 months ago
0
cv.glmnet weights are inverted
#281
tdhock
closed
5 months ago
4
release: 0.5.8
#280
be-marc
closed
8 months ago
0
Release mlr3learners 0.5.8
#279
be-marc
closed
8 months ago
0
refactor: read task features from state
#278
be-marc
closed
8 months ago
0
fix: ranger parameters
#277
be-marc
closed
10 months ago
0
fix: crate monotone_constraints custom check in xgboost
#276
be-marc
closed
10 months ago
0
crate all custom_check functions
#275
sebffischer
closed
9 months ago
0
refactor: change example template
#274
be-marc
closed
10 months ago
0
S3params compat
#273
mb706
closed
6 months ago
1
fix: add missing predict parameters to regr.lm
#272
be-marc
closed
1 year ago
0
chore: bump version to 0.5.7
#271
be-marc
closed
10 months ago
0
Release mlr3learners 0.5.7
#270
be-marc
closed
9 months ago
0
feat: add labels
#269
be-marc
closed
1 year ago
0
feat: add min.bucket parameter to ranger learner
#268
be-marc
closed
1 year ago
0
set env vars for xgboost
#267
sebffischer
opened
1 year ago
4
feat: add min.bucket parameter to ranger learner
#266
be-marc
closed
1 year ago
0
Please restore the "weights" property for the "classif.log_reg" learner!
#265
FlorianPargent
closed
4 weeks ago
1
feat: allow formula as argument for nnet learner
#264
sebffischer
closed
1 year ago
0
fix: multinom learner drops matrix dims in prediction
#263
mllg
closed
1 year ago
0
mlr3learners site down
#262
PhilippBach
closed
1 year ago
3
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