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Does argument 'censored' make sense for our classif / regr NNet learners?

Status: Open.

#313 In mlr-org/mlr3learners;

· mb706 opened on Oct 7, 2024

Implement internal tuning for cv.glmnet

Type: Enhancement

Status: Open.

#301 In mlr-org/mlr3learners;

· sebffischer opened on Jul 29, 2024

RegrKm SE prediction for epistemic uncertainty

Priority: Low

Type: Enhancement

Status: Open.

#173 In mlr-org/mlr3learners;

· mb706 opened on Feb 1, 2021

Connect learner textmodel_nb from package quanteda.textmodels

Status: Pending

Type: Learner Request

Status: Open.

#158 In mlr-org/mlr3learners;

· andreassot10 opened on Sep 23, 2020

Connect learner ebm_classify from package interpret

Status: Pending

Type: Learner Request

Status: Open.

#128 In mlr-org/mlr3learners;

· KnutJaegersberg opened on May 1, 2020

Feature Request: Sugar for installing new learners

Priority: Low

Status: Accepted

Type: Enhancement

Status: Open.

#82 In mlr-org/mlr3learners;

· RaphaelS1 opened on Apr 3, 2020

Feature Request: Learner using rsparse package backend

Type: Learner Request

Status: Open.

#39 In mlr-org/mlr3learners;

· DyfanJones opened on Sep 11, 2019

give glmnet the $importance slot

Priority: Low

Status: Pending

Type: Enhancement

Status: Open.

#28 In mlr-org/mlr3learners;

· mb706 opened on Jul 14, 2019