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fix links in vignette
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egillax committed Oct 28, 2024
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Expand Up @@ -1236,8 +1236,7 @@ The package has much more functionality than described in this vignette and cont
| Custom Splitting Functions | This vignette describes how you can add your own custom training/validation/testing splitting functions in the framework | [`Vignette`](https://github.com/OHDSI/PatientLevelPrediction/blob/main/inst/doc/AddingCustomSplitting.pdf) |
| Custom Sampling Functions | This vignette describes how you can add your own custom sampling functions in the framework | [`Vignette`](https://github.com/OHDSI/PatientLevelPrediction/blob/main/inst/doc/AddingCustomSamples.pdf) |
| Custom Feature Engineering/Selection | This vignette describes how you can add your own custom feature engineering and selection functions in the framework | [`Vignette`](https://github.com/OHDSI/PatientLevelPrediction/blob/main/inst/doc/AddingCustomFeatureEngineering.pdf) |
| Ensemble models | This vignette describes how you can use the framework to build ensemble models, i.e combine multiple models in a super learner | [`Vignette`](https://github.com/OHDSI/PatientLevelPrediction/blob/main/inst/doc/BuildingEnsembleModels.pdf) |
| Learning curves | Learning curves assess the effect of training set size on model performance by training a sequence of prediction models on successively larger subsets of the training set. A learning curve plot can also help in diagnosing a bias or variance problem as explained below. | [`Vignette`](https://github.com/OHDSI/PatientLevelPrediction/blob/main/inst/doc/GeneratingLearningCurves.pdf) |
| Learning curves | Learning curves assess the effect of training set size on model performance by training a sequence of prediction models on successively larger subsets of the training set. A learning curve plot can also help in diagnosing a bias or variance problem as explained below. | [`Vignette`](https://github.com/OHDSI/PatientLevelPrediction/blob/main/inst/doc/CreatingLearningCurves.pdf) |

# Demos

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