lendle / SuPyLearner
An implementation of the SuperLearner algorithm in Python based on scikit-learn.
☆25Updated 10 years ago
Alternatives and similar repositories for SuPyLearner:
Users that are interested in SuPyLearner are comparing it to the libraries listed below
- Using stochastic gradient descent (SGD) with explicit and implicit updates to fit large-scale statistical models.☆16Updated 10 years ago
- Particle Gibbs for Bayesian Additive Regression Trees☆33Updated 9 years ago
- Continuous-time Markov model with discrete observations☆23Updated last year
- GBM multicore scaling: h2o, xgboost and lightgbm on multicore and multi-socket systems☆20Updated 6 years ago
- Boosted regression trees for multivariate, longitudinal, and hierarchically clustered data.☆36Updated 6 years ago
- Quick & dirty repo for hosting the Notebook for t-SNE presentation at delivered at Python Quants and PyData London meetups☆9Updated 9 years ago
- Reproducing plots of Bayesian Data Analysis (Gelman et al, 3rd Edition) in Python☆45Updated 9 years ago
- A Bayesian testing framework written in Python.☆94Updated 9 years ago
- General Latent Feature Modeling for Heterogeneous data☆48Updated 9 months ago
- Scikit-learn compatible implementations of the Random Rotation Ensemble idea of (Blaser & Fryzlewicz, 2016)☆43Updated 8 years ago
- The holdout randomization test: feature selection using black box predictive models☆22Updated 3 years ago
- Mirror of Apache Spark☆24Updated 9 years ago
- ☆31Updated 8 years ago
- a supplemental library for machine learning that incorporates various conveniences and functionalities either missing or not presently co…☆9Updated 7 years ago
- Python package for inference with Gaussian processes☆11Updated 9 years ago
- Benchmarks of the H2O Ensemble R interface (H2O 2.0).☆14Updated 4 years ago
- This repository holds all course materials for the fall 2016 offering of Statistics 238 (Bayesian Statistics) at UC Berkeley.☆30Updated 8 years ago
- Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data☆27Updated 8 years ago
- These are the codes used in the paper "Accelerated Gradient Boosting" by G. Biau, B. Cadre, and L. Rouvière.☆17Updated 6 years ago
- ☆42Updated 6 years ago
- Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling☆13Updated 9 years ago
- Common post-estimation tasks for scikit-learn☆17Updated 8 years ago
- Deepboost R-package for submission☆19Updated 7 years ago
- Tuning GBMs (hyperparameter tuning) and impact on out-of-sample predictions☆21Updated 7 years ago
- Software for learning sparse Bayesian networks☆43Updated 4 years ago
- Active Learning in R☆45Updated 7 years ago
- An R package for large scale estimation with stochastic gradient descent☆62Updated 11 months ago
- Dimensionality reduction for binary data☆50Updated 4 years ago