lendle / SuPyLearnerLinks
An implementation of the SuperLearner algorithm in Python based on scikit-learn.
☆25Updated 11 years ago
Alternatives and similar repositories for SuPyLearner
Users that are interested in SuPyLearner are comparing it to the libraries listed below
Sorting:
- Software for learning sparse Bayesian networks☆42Updated 5 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 11 years ago
- ☆31Updated 9 years ago
- Fast, principled L1-regularized loss minimization☆24Updated last year
- Benchmarks of the H2O Ensemble R interface (H2O 2.0).☆14Updated 4 years ago
- Python solver for mixed-effects models☆97Updated 4 months ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆26Updated 8 years ago
- Mirror of Apache Spark☆24Updated 10 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 7 years ago
- simple customizable scoring systems in python☆40Updated 2 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated last year
- This repository holds all course materials for the fall 2016 offering of Statistics 238 (Bayesian Statistics) at UC Berkeley.☆30Updated 8 years ago
- An implementation of the Rotation Forest algorithm from Rodriguez et al. 2006☆18Updated 12 years ago
- ☆33Updated 5 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆69Updated 8 years ago
- These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.☆17Updated 7 years ago
- 💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017☆23Updated 8 years ago
- ☆10Updated 8 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- ☆99Updated 7 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- ☆24Updated 9 years ago
- CausalFX R Package☆13Updated 10 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 9 years ago
- Deepboost R-package for submission☆19Updated 7 years ago
- repo for "Optimal Inference After Model Selection"☆14Updated 8 years ago
- Dimensionality reduction for binary data☆51Updated 5 years ago
- Bayesian dessert for Lasagne☆83Updated 8 years ago