# Learners

Use these objects to configure nuisance models, cross-fitting folds, conditional densities, and
thread limits. Learners follow the relevant scikit-learn fit and predict contracts.

```{eval-rst}
.. autosummary::
   :nosignatures:

   cleverly.SuperLearner
   cleverly.learners.default_library
   cleverly.learners.SuperLearnerDiagnostics
   cleverly.learners.CorrelationScreener
   cleverly.learners.ParametricOutcome
   cleverly.learners.ParametricMechanism
   cleverly.learners.ParametricFitDiagnostics
   cleverly.learners.CrossFitPlan
   cleverly.learners.Folds
   cleverly.learners.FoldOrigin
   cleverly.learners.ConditionalDensity
   cleverly.learners.DensityDiagnostics
   cleverly.learners.make_folds
   cleverly.learners.random_partition
   cleverly.learners.thread_limit
   cleverly.learners.set_thread_limit
   cleverly.learners.get_thread_limit
```