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:
- Python package for inference with Gaussian processes☆11Updated 10 years ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 10 years ago
- Fast, principled L1-regularized loss minimization☆24Updated last year
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 7 years ago
- ☆31Updated 8 years ago
- 💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017☆23Updated 8 years ago
- Benchmarks of the H2O Ensemble R interface (H2O 2.0).☆14Updated 4 years ago
- Advanced workshop on XGBoost with Tianqi Chen in Santa Monica, June 2, 2016☆26Updated 8 years ago
- ☆32Updated 5 years ago
- Mirror of Apache Spark☆24Updated 9 years ago
- R code for reading and writing files in libsvm format☆14Updated 10 years ago
- a supplemental library for machine learning that incorporates various conveniences and functionalities either missing or not presently co…☆9Updated 7 years ago
- Library for integrated use of H2O with Hyperopt☆13Updated last year
- simple customizable scoring systems in python☆40Updated last year
- An implementation of the Rotation Forest algorithm from Rodriguez et al. 2006☆18Updated 12 years ago
- FTRL-Proximal Online Learning Algorithm☆15Updated 8 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 10 years ago
- CausalFX R Package☆13Updated 10 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 7 years ago
- Dimensionality reduction for binary data☆50Updated 4 years ago
- Fast k-Nearest Neighbors Classifier for Large Datasets☆69Updated 7 years ago
- Probabilistic programming in Python workshop at Oslo universitetssykehus HF☆36Updated 9 years ago
- ☆24Updated 9 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 4 years ago
- A Gaussian process toolbox in python☆42Updated 13 years ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆21Updated 7 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
- ☆10Updated 8 years ago
- An R package for better visualizing a statistical learning model☆35Updated 2 years ago