topepo / Optimization-Methods-for-Tuning-Predictive-ModelsLinks
Code and slides from a 2016 talk at the Cambridge UK RUG
☆16Updated 8 years ago
Alternatives and similar repositories for Optimization-Methods-for-Tuning-Predictive-Models
Users that are interested in Optimization-Methods-for-Tuning-Predictive-Models are comparing it to the libraries listed below
Sorting:
- Build machine learning models in R like using python's scikit-learn library☆33Updated last year
- Honest calibration assessment for binary outcome predictions☆11Updated 3 years ago
- ☆22Updated 5 years ago
- 📦 Your One Stop to Targeted Learning in R with the tlverse☆33Updated 3 years ago
- Effects and Importances of Model Ingredients☆37Updated 2 years ago
- Sparse and Regularized Discriminant Analysis in R☆14Updated 4 years ago
- stray {Search and TRace AnomalY}. Full paper is available from https://arxiv.org/pdf/1908.04000.pdf☆59Updated last year
- Machine Learning algorithms coded from scratch☆22Updated 4 years ago
- Time Series Forecasting Using KNN☆11Updated last year
- Deep Learning with Metaheuristic☆28Updated 5 years ago
- Projection Pursuit Forest Algorithm for Supervised Classification☆18Updated last week
- Comprehensive Cross-Validation Engine☆27Updated 3 years ago
- Composable Preprocessing Operators for MLR☆37Updated 2 months ago
- An R package extends R to process tera-scale datasets in parallel and out of core automatically.☆16Updated 8 years ago
- Plotting model coefficients☆28Updated last week
- Lightweight Machine Learning Classics with R (Book Draft)☆16Updated 3 years ago
- Encode Categorical Features (unmaintained)☆32Updated 2 years ago
- Machine learning in R that doesn’t suck☆51Updated 7 years ago
- Additional functions for the SuperLearner R package. A collection of mostly wrapper functions that might be useful for the SuperLearner b…☆20Updated last year
- R package for weighted model metrics☆11Updated 5 months ago
- Tutorial on Bayesian optimization in R☆15Updated 3 years ago
- Combining drake workflows with R package development to train and execute a machine learning model☆14Updated 5 years ago
- Computationally efficient confidence intervals for cross-validated AUC estimates in R☆23Updated 3 years ago
- Materials for the Applied Machine Learning Workshop in Washington DC☆29Updated 7 years ago
- Reticulate wrapper for hyperopt☆11Updated 5 years ago
- Ames IA Housing data from De Cock (2011)☆14Updated 2 years ago
- recommendations for creating R modeling packages☆41Updated 3 years ago
- Rapid Calculation of Model Metrics☆30Updated 4 years ago
- Model verification, validation, and error analysis☆58Updated last year
- 🎯 💯 Targeted Learning and Variable Importance for the Causal Effect of an Optimal Individualized Treatment Intervention☆13Updated 3 years ago